Abstract: A vehicular control system includes a central control module vehicle, a plurality of vehicular cameras disposed at a vehicle and viewing exterior of the vehicle, and a plurality of radar sensors disposed at the vehicle and sensing exterior of the vehicle. The plurality of vehicular cameras includes at least (i) a forward-viewing vehicular camera, (ii) a driver side sideward-viewing vehicular camera and (iii) a passenger side sideward-viewing vehicular camera. The central control module receives vehicle data relating to operation of the vehicle. During a driving maneuver of the equipped vehicle, and responsive at least in part to fusion at the central control module of (i) image data captured by at least the forward-viewing vehicular camera and (ii) radar data captured by at least the front radar sensor, a pedestrian present exterior of the equipped vehicle is detected.

Abstract: A system for enhancing occupant awareness for a vehicle includes a camera system for capturing images of an environment surrounding the vehicle, a display for displaying information to the occupant of the vehicle and a controller in electrical communication with the camera system and the display. The controller is programmed to determine an activation state of the system. The controller is further programmed to capture an image of the environment surrounding the vehicle using the camera system in response to determining that the activation state is the activated state. The image has a first portion and a second portion. The first portion of the image includes a trailer connected to the vehicle and the second portion of the image. The controller is further programmed to display the second portion of the image to the occupant using the display based at least in part on the first portion of the image.

Abstract: A computer-implemented method comprising: receiving sensor data from sensors of a first vehicle associated with a first person, the sensor data generated by the sensors; applying a machine-learning algorithm to the sensor data to define a driving envelope for an assisted-driving system, the assisted-driving system installed in a second vehicle; and providing the driving envelope to the assisted-driving system installed in the second vehicle.

Abstract: An example operation includes one or more of receiving, by a server, characteristics related to a transport within a time period, wherein the characteristics are related to a condition of the transport, an operation behavior of the transport and an upkeep of the transport, providing, by the server, one or more actions to perform by the transport to increase a level of the characteristics, and responsive to the level of the characteristics being increased, determining, by the server, a next use of the transport after the time period.

Abstract: Disclosed is a vehicular environment estimation device capable of accurately estimating a travel environment around own vehicle on the basis of a predicted route of a mobile object or the like, which is moving in a blind area. A vehicular environment estimation device that is mounted in the own vehicle detects a behavior of another vehicle in the vicinity of the own vehicle, and estimates a travel environment, which affects the traveling of another vehicle, on the basis of the behavior of another vehicle. For example, the presence of another vehicle, which is traveling in a blind area, is estimated on the basis of the behavior of another vehicle. Therefore, it is possible to estimate a vehicle travel environment that cannot be recognized by the own vehicle but can be recognized by another vehicle in the vicinity of the own vehicle.

Abstract: A collision warning system and method are provided. The system includes an image capturing apparatus, a sensing apparatus, and a computing apparatus. The computing apparatus analyzes a vehicle side image to generate a plurality of objects and an object coordinate corresponding to each of the objects. The computing apparatus calculates an aerial view coordinate corresponding to each of the objects based on the object coordinates and a pitch angle corresponding to the image capturing apparatus. The computing apparatus calculates a predicted collision time between the vehicle and each of the objects based on a vehicle speed, a turning angle, and the aerial view coordinates. The computing apparatus generates a plurality of warning regions and determines a warning scope corresponding to each of the warning regions based on the predicted collision times.

Abstract: A working machine includes a machine body, a traveling device provided on the machine body, an operation member operable to activate the traveling device, a camera device to capture an image of surroundings of the machine body, a display unit to display the image captured by the camera device, a notification unit to notify a traveling direction of the traveling device, and a controller to control the display unit and the notification unit so that when the operation member is operated to activate the traveling device, the display unit is controlled to display the captured image and the notification unit is controlled to notify the traveling direction. The controller delays either one of a first timing when the display unit starts to display the captured image and a second timing when the notification unit starts to notify the traveling direction later than the other.

Abstract: Various aspects of the disclosure relate to a request-response mechanism for sharing sensor information. For example, sensor devices (e.g., in vehicles, fixed structures, or a combination thereof) may selectively share information acquired by the sensor devices. The disclosure relates in some aspects to avoiding redundant transmissions of sensor information. For example, a sensor device of a set of sensor devices may determine which sensor device should transmit information and/or the time(s) at which that sensor device should transmit the information.

Abstract: The present invention estimates a height of a user by using a rear camera to automatically adjust the opening amount of a tailgate, so as to increase the convenience of an electrically-powered tailgate.

Abstract: An emergency reporting device for a vehicle includes an emergency detector and a communicator. The emergency detector is configured to detect or estimate an emergency including a collision of the vehicle. The communicator is configured to, when the emergency of the vehicle is detected or estimated, transmit information related to the emergency to outside so that a succeeding vehicle receives the information related to the emergency. The communicator is configured to, after the information related to the emergency is transmitted, receive acknowledgment information from the succeeding vehicle about reception of the information related to the emergency.

Abstract: The present application provides an AI-based system for evaluating an individual's mindfulness (e.g., during prayer) based on video captured of the individual. In one example, the video may be captured via a smart phone. The individual's mindfulness may be continually evaluated from the captured video by observing the individual's body pose and movements. For instance, turning the individual's head to one side or moving the individual's eyes around rapidly can be signs of losing focus. Body pose and movement information of an individual may be derived from the video through AI-based video analytics. The user's body pose and movements may be checked against a set of predefined criteria for mindfulness, and an objective evaluation may be provided. Such evaluation can then be fed back to the individual, for example, to remind the individual whenever they lose focus during prayer.

Abstract: The present disclosure is directed to driver assistance systems, such as blind sport detection systems, that integrate driver facing imaging devices. In one form, a system includes an imaging device configured to capture images of a face of a driver; at least one sensor positioned on the vehicle and configured to detect a distance from the vehicle to an object; and at least one processor configured to analyze the images and determine that the driver is in a drowsy state; determine, based on information received from the at least one sensor, that a distance between the vehicle and the object is decreasing or that the distance between the vehicle and the object is less than a threshold; and in response to the determinations, provide an alert to the driver of a potential side collision.

Abstract: The present invention discloses a system for detecting an obstacle for a vehicle. The system includes an information collection unit that monitors movement information of a vehicle, road information, and location information of the vehicle; a determination unit that determines whether the vehicle enters a special mode in which the vehicle turns and moves backward on a road through the movement information of the vehicle, the road information, and the location information of the vehicle from the information collection unit; and a controller that deactivates a rear monitoring function of either side of the vehicle in response to a determination that the vehicle enters the special mode.

Abstract: Example embodiments relate to user interface techniques for recommending remote assistance actions. A remote computing device may display a representation of the forward path for an autonomous vehicle based on sensor data received from the vehicle. The computing device may augment the representation of the forward path to further depict one or more proposed trajectories available for the autonomous vehicle to perform. Each proposed trajectory conveys one or more maneuvers positioned relative to road boundaries in the forward path. The computing device may receive a selection of a proposed trajectory from the one or more proposed trajectories available for the autonomous vehicle to perform and provide navigation instructions to the vehicle based on the proposed trajectory.

Abstract: A driving support system includes a first monitoring device on a first object, the first monitoring device having a first controller, a first camera, and a first display, a second monitoring device on a second object, the second monitoring device having a second controller and a second camera, and a server in communication with the first and second monitoring devices. The first and second controllers each detect a target in images acquired from the respective first or second camera, calculate target information for the target, and transmit the target information to the server. The server generates list information including the target information the first and second monitoring devices, and transmits the list information to the first and second monitoring devices. The first controller further generates a map according to the list information received from the server, and displays the map on the first display.

Abstract: A surrounding vehicle monitoring device includes an acquiring unit configured to acquire a midpoint between a rear left end position and a rear right end position of another vehicle, acquire a width of the other vehicle, and change a current position of a great change position to a corrected position and acquire a midpoint between a current position of a small change position and the corrected position as a position of the other vehicle in a case where a changing amount of the width is equal to or more than a first threshold. The great change position is one of the rear left end position and the rear right end position whose changing amount is the greater of the two. The small change position is another of the rear left end position and the rear right end position whose changing amount is the smaller of the two.

Abstract: An embodiment personal mobility includes a display, a first sensor unit configured to obtain battery state information of the personal mobility, a second sensor unit configured to obtain speed information of the personal mobility, a third sensor unit configured to obtain steering information of the personal mobility, a communicator configured to obtain navigation information, and a controller configured to display a plurality of contents including the navigation information, usage time information of the personal mobility, the battery state information, or the speed information on the display as a basic screen in a plurality of regions in response to an ignition of the personal mobility being turned on and to control to change a screen displayed on the display based on the steering information or the navigation information.

Abstract: Systems and methods for processing telematics data streams for event detection are provided. The methods involve operating at least one processor to: receive a telematics data stream; define a plurality of sliding windows for the telematics data stream, each sliding window containing a portion of the telematics data stream, each sliding window overlapping with one or more neighboring sliding windows, each sliding window including: a logical window; a first buffer preceding the logical window; and a second buffer following the logical window; the logical window being adjacent with one or more neighboring logical windows of the one or more neighboring sliding windows without overlapping the one or more neighboring logical windows; identify a vehicle event based on the portion of the telematics data stream contained within one of the sliding windows; and store an indication of the vehicle event.

Abstract: A method for carrying out a distance-regulating or speed-regulating function for a single-track motor vehicle. An activated distance-regulating or speed-regulating function can be deactivated by the driver through actuation of a brake operating element, if the actuation intensity of the brake operating element exceeds a first threshold value. The presence of a collision risk is ascertained by an environmental sensor system. When there is a risk of collision, an emergency braking assistance function is activated through the actuation of the brake operating element by the driver with an actuation intensity exceeding a second threshold value. The second threshold value is lower than the first threshold value. The activated distance-regulating or speed-regulating function is continued independently of the driver after the termination of the emergency braking assistance function, with the settings that were present before the activation of the emergency braking assistance function.

Abstract: A vehicle display control device includes a memory and a processor coupled to the memory. The vehicle display control device is configured such that the processor controls a vehicle display device for displaying an image on a display region so as to be superimposed on a portion of a view ahead of a vehicle. The processor is configured so as to detect a preceding vehicle traveling at a vehicle front side of a host vehicle, and in cases in which the preceding vehicle has been detected, causes an image that includes a plurality of inter-vehicle marker objects from the host vehicle side toward the preceding vehicle side to be displayed in the display region, and causes sequential emphasis display of the plurality of inter-vehicle marker objects in sequence from the host vehicle side toward the preceding vehicle side.

Abstract: A driving assistance apparatus for assisting driving of a vehicle. The driving assistance apparatus includes a teacher data generator that stores a movement route traveled by the vehicle according to the user's driving operation in a teacher traveling mode, and generates teacher data related to a target route generated by inverting the movement route; a position estimator that estimates the vehicle current position based on sensor information from a peripheral sensor monitoring the surrounding environment of the vehicle; and a vehicle controller that feedback controls the vehicle based on the vehicle current position estimated by the position estimator and each of target positions on the target route so that the vehicle travels along the target route when an execution command for an automatic traveling mode is received from the user.

Abstract: A sensor hub for collecting sensor data during a parachuting or wing-suite event is described herein. In some instances, the sensor hub may include a sensor hub housing, the sensor hub housing including a first cavity that houses a power supply and a communication unit and a second cavity that houses a location sensor and an orientation sensor, wherein the communication unit is configured to share the location sensor and the orientation sensor with a second sensor hub and a helmet that attaches to the sensor hub housing.

Abstract: When a user equipment detects a condition that a distance between the user equipment, which has an established connection with a network entity of a communications network system, and a subject enters apre-warning region, the user equipment enters a monitoring mode based on at least the detected condition. In the monitoring mode, options of operations to be performed by the user equipment to mitigate degradation of the established connection due to a required power backoff of an antenna of the user equipment are monitored.

Abstract: A computer system of the present invention comprises a processor unit, and is configured to be capable of communicating with a user device operated by a first user and a satellite. The satellite includes a religious object and an information providing means for providing information associated with the religious object. The processor unit is configured to execute at least the following: acquiring location data indicating a location on Earth of the first user; acquiring bearing data indicating a bearing; calculating, on the basis of the location data and the bearing data, a time period in which the satellite is located in a predetermined space extending toward the bearing from the location on Earth of the first user; and providing the user device with information associated with the religious object provided by the information providing means of the satellite only during the time period.

Abstract: A vehicular vision system includes a sensor disposed at a vehicle and having a field of sensing exterior of the vehicle. The sensor captures sensor data. Electronic circuitry of an electronic control unit (ECU) includes a processor for processing sensor data captured by the sensor. Responsive to the vehicle being parked, captured sensor data is processed at the ECU to determine a topography of the environment at the parked vehicle. The ECU, responsive to determining the topography at the parked vehicle determines presence of a hazard of the topography. The ECU, responsive to determining presence of the hazard, notifies an occupant of the vehicle of the hazard prior to the occupant exiting the parked vehicle.

Abstract: Provided is an anomaly detection device that acquires a degree of anomaly required for anomaly detection when a feature pattern of time series data changes over time. The anomaly detection device is a device that detects the degree of anomaly in the time series data. The anomaly detection device includes a first acquisition unit, a prediction unit, and an anomaly degree acquisition unit. The first acquisition unit acquires, from a first section that is a partial section of the time series data, a dynamic feature pattern of the first section. The prediction unit predicts data of a second section that is a partial section of the time series data later than the first section by using the feature pattern. The anomaly degree acquisition unit acquires the degree of anomaly based on a difference between the predicted second section data and actual data of the second section.

Abstract: Among other things, techniques are described for expressive vehicle systems. These techniques may include obtaining, with at least one processor, data associated with an environment, the environment comprising a vehicle and at least one object; determining an expressive maneuver including a deceleration of the vehicle such that the vehicle stops at least a first distance away from the at least one object and the vehicle reaches a peak deceleration when the vehicle is a second distance away from the at least one object; generating data associated with control of the vehicle based on the deceleration associated with the expressive maneuver; and transmitting the data associated with the control of the vehicle to cause the vehicle to decelerate based on the deceleration associated with the expressive maneuver.

Abstract: A method for the predictive assessment of a current driving situation of a vehicle, in particular utility vehicle, includes determining currently present driving situation information, wherein the driving situation information characterizes the current driving situation of the vehicle. The method includes specifying the driving situation information to a neural algorithm, wherein the neural algorithm assigns, in the manner of a trained neural network, a driving situation category to the currently present driving situation information. The respective driving situation category is based on a predicted driving situation. The neural algorithm determines the predicted driving situation in accordance with the current driving situation and the predicted driving situation indicates a driving situation of the vehicle which will develop in future from the current driving situation. The method includes outputting an output value characterizing the driving situation category, as an assessment result.

Abstract: A vehicular control system includes a central control module vehicle, a plurality of vehicular cameras disposed at a vehicle and viewing exterior of the vehicle, and a plurality of radar sensors disposed at the vehicle and sensing exterior of the vehicle. The plurality of vehicular cameras includes at least (i) a forward-viewing vehicular camera, (ii) a driver side sideward-viewing vehicular camera and (iii) a passenger side sideward-viewing vehicular camera. The central control module receives vehicle data relating to operation of the vehicle. Responsive at least in part to processing at the central control module of (i) image data captured by at least the forward-viewing vehicular camera and (ii) radar data captured by at least the front radar sensor, the vehicular control system at least in part controls a plurality of driver assistance systems of the vehicle.

Abstract: An example server includes a memory configured to store sensor data from a plurality of sensors in a facility; a communications interface; and a processor interconnected with the memory and the communications interface, the processor configured to: in response to receiving, via the communications interface, an event indicator from a source sensor of a client device: identify a subset of the plurality of sensors based on the event indicator; retrieve and correlate the sensor data from the identified subset of the plurality of sensors in the facility; detect a candidate event associated with a user of the client device from the correlated sensor data; and when the candidate event is detected, send an event notification to the client device.

Abstract: Disclosed are an anti-collision system and method for an aircraft and an aircraft including the anti-collision system. The anti-collision system includes: a sensor data processing unit configured to process data received from a plurality of sensors to detect objects around the aircraft, and output a result about detected objects; a safeguarding box building unit configured to generate, based on an aircraft geometry database, a three-dimensional safeguarding box for the aircraft; and a risk assessment unit configured to calculate relative distances between detected objects and the aircraft, and determine whether there is a collision risk between the aircraft and an object, among the detected objects, located in the safeguarding box or to be entering into the safeguarding box, wherein the system is configured to output an alarm or a warning when there is the collision risk.

Abstract: Systems, methods, and circuitries are disclosed for generating and storing event data records. In one example, a method includes, for each of a plurality of monitored parameters, controlling a memory controller to write pre-event system data from a controller memory to a buffer in a non-volatile memory. In response to detection of an event, for each of the plurality of monitored parameters, the method includes controlling the memory controller to write post-event system data occurring during a post-event time window from the controller memory to an event data record for the event in the non-volatile memory; and controlling the memory controller to copy pre-event system data for each monitored parameter from the buffer to the event data record for the event, wherein, writing of post-event system data and copying of pre-event system data are performed concurrently.

Abstract: A method for managing power consumption for a vehicular lidar sensing system includes providing power to each lidar sensor of one or more lidars of the lidar sensing system. Each lidar has a corresponding field of sensing exterior of the vehicle. A speed of the vehicle is determined as the vehicle travels along a road, and electrical power is provided to the lidar sensor of the vehicular lidar sensing system as the vehicle travels along a road. An initial level of electrical power is determined for the lidar sensor based on the determined speed of the vehicle. A change in a driving condition is determined and, responsive to the determined change in driving condition, the electrical power provided to the lidar sensor is adjusted.

Abstract: A system and method for determining car to lane distance is provided. In one aspect, the system includes a camera configured to generate an image, a processor, and a computer-readable memory. The processor is configured to receive the image from the camera, generate a wheel segmentation map representative of one or more wheels detected in the image, and generate a lane segmentation map representative of one or more lanes detected in the image. For at least one of the wheels in the wheel segmentation map, the processor is also configured to determine a distance between the wheel and at least one nearby lane in the lane segmentation map. The processor is further configured to determine a distance between a vehicle in the image and the lane based on the distance between the wheel and the lane.

Abstract: Described herein is a visual indication system implemented on a mobile machine. The visual indication system at least partially surrounds the mobile machine and includes a plurality of displayable regions. Objects surrounding the mobile machine are detected using an object detection sensor. A direction with respect to the mobile machine is detected for each of the objects. A current state of the mobile machine is determined. An object-directed indicator for each of the objects is generated based on the current state of the mobile machine. The object-directed indicator for each of the objects is displayed on the visual indication system at a particular displayable region based on the direction of the particular object.

Abstract: Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.

Abstract: An axial deviation estimation apparatus of an in-vehicle sensor includes a road surface recognition unit configured to recognize a road surface by a laser radar installed in a vehicle, an estimation unit configured to estimate an axial deviation amount of the in-vehicle sensor mounted on the vehicle, and a plane creation unit configured to create a virtual plane of the road surface based on a recognition result of the road surface recognition unit. The estimation unit estimates the axial deviation amount based on an inclination of the virtual plane with respect to a reference plane of the laser radar.

Abstract: Safety for bicyclists while travelling on a road near to certain motor vehicles is achieved through the use of systems and methods that communicate the physical location of the bicyclist in relation to the motor vehicle. The systems and methods allow a bicyclist to generate a “safety bubble” of an exclusion zone set of location coordinates. The motor vehicle is automatically prompted to navigate away from the exclusion zone. The exclusion zone of location coordinates may be generated based on the bicyclist user's preferences, as well as legal data and road data. By drawing from these several parameters, the exclusion zone may be sized and located so as to best meet the bicyclist's need without unduly impacting traffic flow.

Abstract: The present disclosure relates to the field of communications and provides a data transmission method for sidelink communication and a device. The method can include a first Internet-of-vehicle device that determines a destination reception geographical location of a user data packet and generates a MAC PDU corresponding to the user data packet. The MAC PDU can carry the destination reception geographical location. The first Internet-of-vehicle device encodes and modulates the MAC PDU to obtain physical layer data, and sends the physical layer data on a target time-frequency resource. A second Internet-of-vehicle device compares the destination reception geographical location carried by the MAC PDU to determine whether to receive the user data packet.

Abstract: A method for providing an audio-based model of an environment of a vehicle, the method may include obtaining, during a driving session of a vehicle, sensed information about the environment of the vehicle; wherein the sensed information may include sensed audio information. The sensed information may also include at least one type of non-audio sensed information; and generating an audio-based model of the environment based, at least in part, on the sensed audio information.

Abstract: Directional stimuli are applied to a vehicle operator to enhance situational awareness. Characteristics within a vehicle's external environment may be assessed to determine whether they present at least a threshold safety risk. If so, a type and/or intensity of a directional stimulus to apply to the vehicle operator is determined. In addition, one or more output devices is selected to apply the directional stimulus. The selected output devices may, upon activation, apply the directional stimulus from a same direction as the underlying directionality, in relation to the vehicle, of a potential safety hazard present in the vehicle's external environment. In this manner, the applied stimulus elicits an immediate rise in the vehicle operator's situational awareness, and also immediately informs her—based on the direction from which the stimulus is applied/received—of the directionality of the potential safety hazard within the vehicle's external environment.

Abstract: This disclosure is directed to techniques for identifying relevant objects within an environment. For instance, a vehicle may use sensor data to determine a candidate trajectory associated with the vehicle and a predicted trajectory associated with an object. The vehicle may then use the candidate trajectory and the predicted trajectory to determine an interaction between the vehicle and the object. Based on the interaction, the vehicle may determine a time difference between when the vehicle is predicted to arrive at a location and when the object is predicted to arrive at the location. The vehicle may then determine a relevance score associated with the object using the time difference. Additionally, the vehicle may determine whether to input object data associated with the object into a planner component based on the relevance score. The planner component determines one or more actions for the vehicle to perform.

Abstract: Provided herein is technology related to a distributed driving system (DDS) by using flexible, on-demand, and customized resources and functions from an intelligent roadside toolbox (IRT). These resources comprise computational resources, cloud resources, system security resources, backup and redundancy resources. The functions comprise sensing, transportation behavior prediction and management, planning and decision-making, and vehicle control functions. The DDS and IRT technologies described herein are vehicle oriented, modular, and customizable for each vehicle to meet the specific needs of each individual vehicle as an on-demand and dynamic service. The DDS is configured to provide customized, on-demand, and dynamic IRT resources and functions to individual CAVs to supplement the CAV's sensing, transportation behavior prediction and management, planning and decision-making, and/or vehicle control.

Abstract: A driver assistance system for motor vehicles. The system includes a sensor device for detecting the traffic surroundings, a detection module for detecting potential pedestrians based on the data of the sensor device, a plausibility check module for assessing, based on predefined criteria, the probability that a detected potential pedestrian is a real pedestrian, and a warning module for triggering counter-measures in the case of an impending collision with the real pedestrian. The plausibility check module is configured to recognize, based on the data of the sensor device, pedestrian-related traffic infrastructure devices, and to carry out the plausibility check, taking a spatial relationship between the potential pedestrian and the traffic infrastructure device into consideration.

Abstract: Provided are a speed planning method and apparatus, an electronic device, and a storage medium. The method includes determining a planned path on which a target object reaches a target position from a current position; in the planned path, performing cubic B-spline curve fitting on a path between the current position and a position with a set distance from the current position to obtain a fitted curve; calculating a radius of curvature of the fitted curve, and calculating a corresponding angular speed based on the radius of curvature and a preset forward speed; based on current obstacle information in a map where the target object is located, judging whether a risk of collision with an obstacle during a process of the target object traveling along the fitted curve at the angular speed exists.

Abstract: A method detects systematic deviations during a determination of a movement variable of a ground-based, more particularly rail-based, vehicle. To optimize the operation of the vehicle, more particularly to minimize operational restrictions during operation of the vehicle, the method proposes that—based on a measurement value, assigned to a time, of at least one sensor, a value, assigned to the time, of the movement variable is determined and—subject to the value, assigned to the time, of the movement variable and a statistical sensor accuracy value, determined for this value, of the at least one sensor, a test variable value, assigned to the time, is formed and is compared in a comparison with a predefined test bound in order to make an assumption regarding an existence of a systematic deviation. The assumption is subject to a comparison result obtained from the comparison.

Abstract: A vehicular system includes a body panel having an aperture and a radar unit at least partially aligned with the aperture. The radar unit includes a housing encapsulating a printed circuit board operable to generate radar waves. The housing includes a first wall through which the radar waves are directed. The first wall of the housing is visible within the aperture and the body panel does not extend across the first wall.

Abstract: Systems and methods for assessing accident events are disclosed According to certain aspects, an electronic device may access sensor data associated with operation of a vehicle, and analyze the sensor data to determine that an accident event has occurred. In response, the electronic device may dynamically and automatically retrieve additional sensor data from at least one additional electronic device via a short range communication. The electronic device may compile or aggregate the additional sensor data with the original sensor data to provide a thorough representation of the accident event.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: A vehicle control method includes recognizing an object, generating plurality of target trajectories which the vehicle travels using a plurality of models, and automatically controlling driving of the vehicle based on the target trajectory, the plurality of models include a first model which is a rule based model or a model based model, and a second model which is a machine learning based model, and the second target trajectory is selected, when the vehicle accelerates after a speed of the vehicle has been equal to or smaller than a predetermined value, under a condition in which driving of the vehicle is controlled based on a first target trajectory output by the first model and under a condition in which driving of the vehicle is controlled based on a second target trajectory output by the second model.