Abstract: An on-vehicle recording control apparatus includes a video data acquiring unit to acquire video data of surroundings of a vehicle; a voice data acquiring unit to acquire outside-vehicle-cabin voice data from an outside-vehicle-cabin voice collecting unit; an event detecting unit to detect an event for the vehicle; a stop detecting unit to detect a stop of the vehicle; a person detecting unit to detect a person in a vicinity of the vehicle from the video data; and a recording control unit to store, when the event is detected, first event recording data based on the video data and to store, when the person is detected after the stop of the vehicle is detected within a predetermined time period after the event is detected, second event recording data based on the video data and the outside-vehicle-cabin voice data until a predetermine time period has elapsed after the person is detected.

Abstract: A system and method for providing real-time current-operator or insurance policy updates for a vehicle based on current operating characteristics and an operator profile. A current operating pattern is generated from the current operating characteristics and is compared to an operating pattern of another vehicle that was involved in an incident to generate a current profile of the vehicle. The profile is adjusted based on an operator profile for the current operator of the vehicle. As the operator operates the vehicle, the current-operator or insurance policy is automatically adjusted in real time as the profile changes in response to changes in the operating characteristics of the vehicle.

Abstract: An example system learns from traffic disturbances or perturbations to improve overall traffic flow. The perturbations may be related to specific times such as morning rush hour, or for all times of day. The improvement to overall traffic flow may be measured by time lost in traffic delays, or by time of travel, or by risk of accidents.

Abstract: A vehicle display control device includes a memory and a processor coupled to the memory. The processor is configured to: recognize a traffic regulation mark provided on a traveling path of a car, the traffic regulation mark indicating traffic regulation; specify a valid regulation range used as a valid range of regulation indicated by the traffic regulation mark based on the recognized traffic regulation mark; and control a display device mounted on the car to display regulations information on a display area, the regulations information including contents of regulation indicated by the recognized traffic regulation mark. The processor is configured to switch displaying the regulations information into another upon satisfying a predetermined condition in a case where the valid regulation range is not specified.

Abstract: A sheet-shaped magnetic marker (1) to be laid on a road surface so as to be able to be detected by a magnetic sensor attached to a vehicle to achieve assist for driving operation of the vehicle by a driver or control on a vehicle side to achieve automatic driving independently from operation of the driver is divided into a plurality of regions in a matrix shape by a cut line (1C) cutting a magnet sheet (11) and a nonskid layer (181), with an adhesive layer being left. Thus, if peeling partially occurs, a region including the peeled part can be isolated, and expansion of peeling can be prevented.

Abstract: A driving assistance method of assisting driving of a vehicle, includes, by a computer, acquiring biological information of a driver who is driving the vehicle, acquiring environment information of the driver, acquiring operation information of the driver, generating biological index data from the biological information, generating integrated information by aligning and combining time series of the biological index data, the environment information, and the operation information, calculating accident risk information after a predetermined time, by inputting the integrated information to an accident risk prediction model set in advance, and calculating factor information of the accident risk information by inputting the accident risk information, the integrated information, and accident risk judge information set in advance to a factor calculation model set in advance.

Abstract: A method for safely ascertaining infrastructure data for driving a motor vehicle in at least partially automated fashion. The method includes receiving data signals, which represent infrastructure sensor data generated by at least one infrastructure sensor and/or motor vehicle data generated by at least one source motor vehicle, receiving safety condition signals, which represent at least one safety condition for safely ascertaining infrastructure data based on the data, checking whether the at least one safety condition is fulfilled, ascertaining infrastructure data, on the basis of which it is possible to drive a destination motor vehicle in at least partially automated fashion, based on the data as a function of a result of the check as to whether the at least one safety condition is fulfilled, generating infrastructure data signals, which represent the ascertained infrastructure data, outputting the generated infrastructure data signals.

Abstract: A target device is associated with a source device. A system includes a target device that enters an association mode, obtains an identification code, and broadcasts the identification code. A source device receives the broadcast, obtains authorization to associate with the target device, and provides a message to an association server. The association server receives the message and associates the target device and the source device in response thereto.

Abstract: A steering control device includes a distance calculation unit which calculates a distance between a front gaze point, which is on a straight line extending forward of a vehicle from a center of the vehicle, and a center line indicating the center of a lane where a vehicle is traveling, a steering angle detection unit which detects a steering angle of the vehicle, and a steering control unit which causes a motor, which assists steering of the vehicle, to assist the steering based on an angle formed by the lane and the straight line extending forward of the vehicle when the distance is larger than a predetermined distance, and causes the motor to assist the steering so as to fix the steering angle when the distance is the predetermined distance or smaller.

Abstract: A system and method of adjusting a field of view in an imaging system includes transmitting light across a transmission optical path and defining a field of view encompassing both uniform and spatially tenuous target objects within the transmitted light. A sensor within a return optical path of reflected light from at least a portion of one of the target objects allows a data processing computer to compile an image from a series of data outputs from the sensor. The image is analyzed to determine a region of interest within the image and by dynamically adjusting the light source, the computer is configured to change the field of view of the light source such that the image includes a higher resolution and/or signal intensity for the region of interest. The region of interest may include at least one spatially tenuous target object.

Abstract: Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Abstract: Disclosed is an electronic apparatus for detecting risk factors around a vehicle. The present electronic apparatus comprises a communicator, a memory storing at least one computer-executable instruction, and a processor for executing the at least one computer-executable instruction, wherein the processor receives, through the communicator, an image obtained from a camera located to capture the outside of the vehicle, calculates a rollover index of an external vehicle on the basis of an image of the external vehicle included in the obtained image, and performs a preset operation according to the calculated rollover index.

Abstract: An optical sensor system operative for receiving, by a processor, a first image captured by a visible light camera, determining a value of a characteristic of the first image, determining an environmental condition in response to the value being less than a threshold, activating an infrared camera in response to the environmental condition, capturing a second image by the visible light camera and a third image by the infrared camera, generating a fused image in response to the second image and the third image, detecting an object in response to the fused image, and controlling a vehicle in response to the detection of the object.

Abstract: One or more techniques and/or systems are provided for parking space routing. For example, parking data for a parking region, such as a parking lot, may be obtained from one or more data sources (e.g., vehicle sensor data, a parking lot camera, parking meter transaction data, etc.). Routes from a current location of a vehicle to available parking spaces within the parking region may be computed. The routes may be ranked based upon various criteria, such as convenience, congestion, travel time, travel distance, a parking space fill order, etc. A route, having a rank above a threshold (e.g., a highest ranked route), may be provided to a driver of the vehicle, such as through a vehicle navigation unit, a mobile device, a wearable device, etc. The route may be provided to autonomous driving functionality of the vehicle for automatic routing and navigation of the vehicle to the parking space.

Abstract: A method, apparatus and computer program product are provided for predicting a state of visibility for a road object. For example, at least one processor receives road sign attribute data indicating at least one attribute of a road sign. The processor further receives weather forecast data indicating a weather forecast of a location in which the road sign is disposed, and using the road sign attribute data and the weather forecast data, a state of visibility for the road sign is identified.

Abstract: A method for monitoring a vehicle includes determining that the vehicle is stopped and determining a location where the vehicle is stopped. Traffic congestion corresponding to the location where the vehicle is stopped may also be determined. A safety action may be taken based at least in part on whether the vehicle is stopped on a highway and whether the traffic congestion is causing the vehicle to be stopped.

Abstract: A detection system for a vehicle comprises a blind spot detection module and a glasses module. The blind spot detection module comprises a first video recording device recording a vehicle surrounding image; a first identification device generating a blind spot identification result; a first determination device determining whether to transmit the vehicle surrounding image and/or a blind spot warning message; and a transmitting device transmitting the vehicle surrounding image and/or the blind spot warning message.

Abstract: A method for reducing processing power of a data processing hardware executing one or more applications is provided. The method includes receiving communication messages and identifying a first application outputting a first message based on at least one communication message. The first application is associated with a first priority value. The method includes determining a group of high-priority applications where each application has a priority value being higher than or equal to the first priority value and determining a group of low-priority applications where each application has a priority value being lower than the first priority value. The method includes discarding one or more communication messages that are not relied on by the group of high-priority applications for a predefined period of time. The method may also include sending, to the group of low-priority applications, instructions causing the one or more applications of the low-priority group to stop executing.

Abstract: A HUD apparatus that is an AR display apparatus mounted on an on-vehicle system includes: an image selection unit configured to input an image photographed by a camera, select and extract an area of an object from the image; a visibility judgment unit configured to judge visibility of a user with respect to the area of the object on a basis of an index value; an AR image generator unit configured to generate an AR image regarding the object by subjecting the area to image processing for improving the visibility on a basis of the visibility of the area of the object; and an AR display unit configured to superimpose and display the AR image onto a screen. The visibility judgment unit controls whether the AR image is to be displayed or not and content of the image processing to be changed in accordance with the visibility.

Abstract: An abnormality detection device 1 includes: a vibration acquisition unit 11 configured to acquire an acoustic signal generated during passage of a vehicle on a road; a frequency domain conversion unit 12 configured to convert the acquired acoustic signal into a frequency domain signal; an unexpectedness determination unit 13 configured to determine whether there is unexpectedness at each predetermined frequency using the frequency domain signal; and an abnormality determination unit 14 configured to determine whether there is an abnormality in the road based on the number of frequencies at which it is determined that there is the unexpectedness.

Abstract: An information providing method is performed in an information providing system. The information providing method includes: acquiring pieces of speed information of a vehicle in association with identification information of an in-vehicle device from the in-vehicle device via roadside antennas, each of the pieces of speed information having been stored in the in-vehicle device each time the vehicle moves a prescribed distance before the vehicle passes by the roadside antennas; and causing an information display device to display evaluation information in association with the identification information, the evaluation information indicating a frequency of occurrence of sudden acceleration or deceleration events of the vehicle obtained from a proportion of differences between calculation values outside a threshold range, the calculation values being calculated on the basis of the pieces of speed information in a prescribed period corresponding to the pieces of speed information stored in the in-vehicle device.

Abstract: The present disclosure is directed to automatically receiving, modifying, sequencing, and displaying vehicle images for marketing to prospective buyers. A seller uploads images of a vehicle to the system, which system uses artificial intelligence and machine learning to classify the images, identify objects within the images, add backgrounds, banners, and hotspots, and generate metadata associating the results of the foregoing processes with the particular images. The system uses the stored metadata to sequence the images in a format predetermined by the seller and upload the sequenced images for display to a prospective buyer.

Abstract: A system that determines a nominal path based on interpolated lane edge data can include a processor and a memory. The memory includes instructions such that the processor is configured to receive a sensor data representing a perceived lane edge; receive map data including a lane edge; interpolate the sensor data and interpolate the map data; fuse the interpolated sensor data and the interpolated map data; and generate predicted lane edge lane edge centers based on the fused interpolated sensor data.

Abstract: An apparatus for assisting driving of a host vehicle includes: a camera mounted on the host vehicle and having a field of view outside of the host vehicle, the camera configured to acquire image data; and a controller configured to: process the image data, identify a speed limit of a road on which the host vehicle is driving and whether there is a speed enforcement for the host vehicle based on the image data; and provide information about the speed limit of the road to a driver of the host vehicle based on the speed limit of the road and whether there is the speed enforcement for the host vehicle. Thereby, the vehicle can be prevented from driving in excess of the speed limit.

Abstract: A method for controlling an automated driving operation of a vehicle involves authorizing the automated driving operation according to a number of predetermined conditions. Traffic information and event information is received by the vehicle. The traffic information contains place- and time-referenced information about a traffic jam on a part of the route lying ahead of the vehicle and the event information contains place- and time-referenced information about an event on the part of the route lying ahead. The traffic information and the event information are evaluated by the vehicle as belonging together if these are close together in terms of place and time. The automated driving operation of the vehicle is not authorized if event information and traffic information is available for a predetermined prediction horizon, but only then if these are evaluated as not belonging together.

Abstract: An operating method of a massage chair comprising: driving the massage chair according to a massage mode; acquiring a user state; when he user state has a sleep mode, changing the massage mode to the sleep mode and driving the massage chair according to the changed sleep mode, and controlling an object related to the sleep mode to be adjusted; and driving the massage chair according to an optimal sleep mode by learning an artificial neural network (ANN) so as to acquire the optimal sleep mode corresponding to sleep habit pattern data in the sleep mode.

Abstract: Systems, methods, and apparatus related to determining ice hazards on roads based on crowdsourced data from vehicles. In one approach, a server receives weather data and location data from each of several vehicles. The weather data is timestamped when received. The server determines, using the location data, a geographic region in which each vehicle is located. The weather data is stored in a database associated with the respective geographic region for the vehicle that transmitted the weather data. The server periodically scans the database to select weather data received over a selected time period. The selected data is analyzed to determine whether an ice hazard exists for one or more regions. A communication is sent to vehicles in those regions having the determined ice hazard.

Abstract: A system includes sensors deployed along a vehicle pathway to detect the presence of a plurality of vehicles. An embodiment of a method for detecting speed may include generating from the sensors presence data of each of the plurality of vehicles and transmitting the detected presence data to a base station. The transmitting may include transmitting the detected presence data from the sensors to an access point and transmitting the detected presence data from the access point to the base station. The base station determines a speed of each of the plurality of vehicles. The speed may be determined at a periodic interval responsive to a predetermined distance between the sensors and a difference in the detection time of each of the plurality of vehicles at each of the sensors.

Abstract: Proposed herein are a signal control apparatus and method based on reinforcement learning. The signal control apparatus includes: a photographing unit configured to acquire an intersection image by capturing an image of an intersection; a control unit configured to calculate the congestion level information of the intersection by analyzing the intersection image acquired by the photographing unit, and to calculate control information for a subsequent signal by using a reinforcement learning model, trained by using state information calculated based on the congestion level of the intersection and reward information as input values, and the congestion level information; and a drive unit configured to drive traffic lights according to the control information for a subsequent signal calculated by the control unit.

Abstract: A system for determining a vehicle queue length in a connected vehicle infrastructure environment includes a vehicle traffic data evaluation module with a processor configured via executable instructions to receive vehicle traffic data of multiple vehicles, the vehicle traffic data comprising basic safety messages, create a geometric representation of a vehicle queue, the vehicle queue comprising one or more segments, each segment comprising a set length, extract data of speed, location, date and time from the basic safety messages, aggregate extracted data with the geometric representation of the vehicle queue, assign a speed value of a basic safety message of a vehicle to a segment when the vehicle is identified to be located within the segment of the vehicle queue, detect a sequence of segments comprising assigned speed values, and determine a vehicle queue length based on the set length of each segment.

Abstract: Methods and apparatuses are disclosed for updating a wait timer as a result of receiving one of a release message and a suspend message and/or configuring a wireless device (WD) to update a wait timer by determining the one of the release message and the suspend message to be communicated to the WD.

Abstract: A vehicle driving support device performs driving support of supporting a driver's driving of a host vehicle based on traffic information. The vehicle driving support device performs a first process of acquiring traffic information associated with traveling of the host vehicle as first traffic information from forward information of the host vehicle detected by a forward information detecting device, performs a second process of acquiring traffic information associated with traveling of the host vehicle out of traffic information stored in a database as second traffic information by comparing a current position of the host vehicle with map data stored in the database, and performs the driving support based on the first traffic information even when the second traffic information is acquired until a predetermined first condition is satisfied when the first traffic information has been acquired.

Abstract: A method of controlling a vehicle headlamp that includes a plurality of LEDs may comprise receiving video images at a first frame rate; storing the video images in a memory at the first frame rate; receiving offset data associated with the video images; defining sub-images based on the offset data and the video images; and driving the plurality of LEDs to present the sub-images at a second frame rate, wherein the second frame rate is faster than the first frame rate.

Abstract: The disclosure relates to managing a fleet of autonomous vehicles. For instance, a method may include receiving, from a plurality of the autonomous vehicles of the fleet, reports identifying locations of detected puddles. A miles per puddle rate may be determined based on the received reports. An operating policy for the fleet may be determined based on the miles per puddle rate. An instruction may be sent to one or more of the autonomous vehicles of the fleet in order to implement the operating policy.

Abstract: Exemplary embodiments described in this disclosure are generally directed to a collaborative relationship between a vehicle and a UAV. In one exemplary implementation, a computer that is provided in the vehicle uses images captured by an imaging system in the UAV together with images captured by an imaging system in the vehicle, to modify a suspension system of the vehicle based on a nature of the terrain located below, or ahead, of the vehicle. The computer may, for example, modify a suspension system before the vehicle reaches a rock or a pothole on the ground ahead. In another exemplary implementation, the computer may generate an augmented reality image that includes a 3D model of the vehicle rendered on an image of a terrain located below, or ahead of, the vehicle. The augmented reality image may be used by a driver of the vehicle to drive the vehicle over such terrain.

Abstract: A key management method serves as an electronic control unit (ECU) in an onboard network system having a plurality of ECUs that perform communication by frames via a network. The method includes storing, in a first-type ECU, a shared key to be mutually shared with second-type ECUs, and executing encryption processing regarding a framed transmitted or received via the network, based on the shared key. The method further includes executing, by the first-type ECU, inspection of a security state of the shared key stored by the second type ECUs in a case where a vehicle is in at least one of the following particular states, including immediately after the vehicle is not driving and is entering the accessory-on state, immediately after the vehicle is not driving and the vehicle is entering the accessory-off state, and immediately after the vehicle engine is started.

Abstract: A system determines first content for presentation on a display within an environment when a speed of one or more vehicles within a field of view (FOV) of the display is less than a threshold speed and second content for presentation on the display when the speed of the one or more vehicles within the FOV is greater than the threshold speed. The second content is different than the first content. The system transmits at least one of the first content or the second content to the display.

Abstract: A method, apparatus, and computer program product are provided for encoding audio events as geo-referenced audio events for use in location establishment. Methods may include: receiving first audio data from a first sensor; establishing a baseline frequency profile; identifying, within the first audio data, a first audio event, where the first audio event satisfies at least one predefined criteria relative to the baseline frequency profile; identify a location corresponding to the first audio event; encoding the first audio event in a database to correspond to the location; receiving second audio data from a second sensor; identifying, within the second audio data, a second audio event; correlating the second audio event with the first audio event; and providing the location in response to the second audio data. The at least one criteria may include a statistically significant change in a prominent frequency in the audio data.

Abstract: A transmitting device may select frequency domain resources for an alert transmission based on a severity level of the alert transmission. The transmitting device may determine a severity level of an alert transmission to be transmitted on one or more available channels. The transmitting device may determine a presence of one or more systems configured to transmit on one or more neighbor channels of the one or more available channels. The transmitting device may select, for the alert transmission, frequency domain resources within the one or more available channels based on the presence of the one or more systems and the severity level. The frequency domain resources for a highest severity level transmission are spaced further apart from the one or more neighbor channels in the frequency domain than resources for a lower severity level transmission. The transmitting device may transmit the alert transmission on the frequency domain resources.

Abstract: The present technology is effective to cause at least one processor to collect sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor, identify, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident, send the sensor data to a remote computing system, and receive, in response to the sending of the sensor data that is indicative of the impact incident, routing instructions from the remote computing system.

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

Abstract: Information related to a vehicle can be displayed by projecting an image based on the information on a road surface or the like. An image projection apparatus that projects an image includes: an acquisition unit that acquires information to be displayed; and an image projection unit that projects the image based on the information to be displayed acquired by the acquisition unit.

Abstract: An adaptive traffic management system includes a plurality of traffic lights positioned at a plurality of roadway intersections. Associated with each intersection is one or more sensors to detect traffic flow. A control system is connected to the traffic lights and the sensors and based upon data received and predetermined weights for various situations generates a signal timing plan that operates the traffic lights. The control system also may be connected to multiple sources, wearables, and/or in-vehicle sensors that are also used to generate the signal timing plan and operate the traffic lights.

Abstract: A vehicle-launching warning device including an acquiring module acquiring traffic light information and driver status information and some or all of: location information, status and navigation of a vehicle, map information, status information of a preceding vehicle, and environmental information; a processing module processing the acquired information to determine whether a target traffic light is at the end of a red light signal and whether a driver's degree of attentiveness is high enough for driving, the target traffic light being a next traffic light in a travelling direction of the vehicle after passing through a current traffic light; a determining module generating a warning command if it is determined the target traffic light is at the end of a red light signal and the driver's degree of attentiveness is not high enough for driving; and an outputting module outputting the warning command to a human machine interface (HMI).

Abstract: Provided are methods for activating haptic feedback sensors to identify a state of vehicle, which can include receiving sensor data associated with the vehicle, determining a vehicle alert for a passenger of the vehicle based at least in part on the sensor data associated with the vehicle, and activating at least one haptic feedback sensor based at least in part on the vehicle alert for the passenger. Systems and computer program products are also provided.

Abstract: An information processing device includes: an accident/near miss detecting unit that detects a first vehicle of a plurality of vehicles based on vehicle information acquired by each of the vehicles and including position information and date-and-time information corresponding to time when the vehicle information is acquired by the vehicles, the first vehicle being involved in a near miss or accident; a surrounding vehicle extracting unit that extracts surrounding vehicles of the vehicles and the date-and-time information corresponding to the position information, the surrounding vehicles being positioned at an area surrounding the first vehicle at time of the near miss or accident; and an object vehicle specifying unit that specifies a second vehicle of the surrounding vehicles, the second vehicle being a vehicle in which an inadequate driving operation causing the near miss or accident of the first vehicle is performed.

Abstract: Methods and devices for detecting traffic signals and their associated states are disclosed. In one embodiment, an example method includes a scanning a target area using one or more sensors of a vehicle to obtain target area information. The vehicle may be configured to operate in an autonomous mode, and the target area may be a type of area where traffic signals are typically located. The method may also include detecting a traffic signal in the target area information, determining a location of the traffic signal, and determining a state of the traffic signal. Also, a confidence in the traffic signal may be determined. For example, the location of the traffic signal may be compared to known locations of traffic signals. Based on the state of the traffic signal and the confidence in the traffic signal, the vehicle may be controlled in the autonomous mode.

Abstract: A system and method for displaying advertisements on utility poles is provided. In one aspect, the system allows users to generate revenue by placing advertisements on utility poles. The system generally comprises a display, display mount, processor operably connected to the display, power supply, and non-transitory computer-readable medium coupled to the processor and having instructions stored thereon. The user interface allows users to choose content that may be presented via the displays. Chosen content is transferred to the displays by the processor over a network. The displays may be grouped in ways that allow users to control multiple displays at once. Various permission levels may be used to limit which displays users have access too, allowing various degrees of control for each display of the system.

Abstract: Systems and methods are provide for highway vehicle platoon maintenance management. Commercial highway vehicle platoon maintenance management is provided where it is desirable to determine traffic conditions around vehicles of the platoon, to share the determined traffic conditions with the other vehicles of the platoon, and to determine and share adaptive cruise control (ACC) parameters between the platooning vehicles for adjusting platoon inter-vehicle following distances based on the determined traffic conditions.

Abstract: A driving assistance apparatus includes a first emotion estimating unit, a second emotion estimating unit, a storage, and a notification controller. The first emotion estimating unit is configured to estimate an emotion of a driver of a vehicle. The second emotion estimating unit is configured to estimate an emotion of a traffic participant around the vehicle. The storage is configured to store data on a first location where the driver of the vehicle has felt no danger and the traffic participant has felt danger from the vehicle. The notification controller is configured to notify the driver of the stored data on the first location.