Vehicle behavioral monitoring includes determining a measure of distraction of the operator of a target vehicle, characterizing the type or category of distraction, determining level of risk that the target vehicle poses, and invoking various responses including host vehicle notifications and evasive actions and external notification and information sharing.

A system for navigating a vehicle automatically from a current location to a destination location without a human operator is provided. The system of the vehicle includes a global positioning system (GPS) for identifying a vehicle location and a communications system for communicating with a server of a cloud system. The server is configured to identify that the vehicle location is near or at a parking location. The communications system is configured to receive mapping data for the parking location from the server, and the mapping data is at least in part used to find a path at the parking location to avoid a collision of the vehicle with at least one physical object when the vehicle is automatically moved at the parking location. The mapping data is processed by electronics of the vehicle so that when the vehicle is automatically moved collision with the at least one physical object is avoided and the electronics of the vehicle is configured to process a combination of sensor data obtained by sensors of the vehicle. The processing of the sensor data uses image data obtained from one or more cameras and light data obtained from one or more optical sensors.

According to one aspect, systems and techniques for lane selection may include receiving a current state of an ego vehicle and a traffic participant vehicle, and a goal position, projecting the ego vehicle and the traffic participant vehicle onto a graph network, where nodes of the graph network may be indicative of discretized space within an operating environment, determining a current node for the ego vehicle within the graph network, and determining a subsequent node for the ego vehicle based on identifying adjacent nodes which may be adjacent to the current node, calculating travel times associated with each of the adjacent nodes, calculating step costs associated with each of the adjacent nodes, calculating heuristic costs associated with each of the adjacent nodes, and predicting a position of the traffic participant vehicle.

Systems, components, and methodologies are provided for improvements in operation of automotive vehicles by enabling monitoring analysis and reaction to subtle sources of information that aid in prediction and response of vehicle control systems across a range of automation levels. Such systems, components, and methodologies include wheel-turn detection equipment for detecting a wheel angle of another vehicle to trigger a vehicle control system to perform an operation based on the detected wheel angle of the other vehicle.

Techniques and implementations pertaining to detection of moving objects, such as pedestrians, when a vehicle moves in a rearward direction are described. A method may involve identifying a region of interest when a vehicle moves in a rearward direction. The method may involve detecting a moving object in the region of interest. The method may also involve determining whether a collision with the moving object by the vehicle moving in the rearward direction is likely. The method may further involve providing a human-perceivable signal responsive to a determination that the collision is likely.

A traffic-infrastructure unit and a method for operating a traffic-infrastructure unit encompassing a signal source, the method having a step of detecting at least one vehicle, a step of detecting at least one further road user, a step of determining a danger potential for the at least one further road user due to the at least one vehicle, and a step of operating the traffic-infrastructure unit as a function of the determined danger potential.

A front hood assembly for a vehicle including a front grille may include a sensory assembly, a bumper assembly positioned adjacent to the front grille, and an energy absorber structure. The bumper assembly may include a bumper reinforcement having a front face and a top face, which front face is disposed below and extends away from the top face. The energy absorber structure may be positioned adjacent to the top face of the bumper reinforcement. The energy absorber structure may be rearwardly compliant in an impact direction and disposed below and rearwardly of the sensory assembly such that an impact of the sensory assembly with the energy absorber structure in the impact direction collapses the energy absorber structure rearwardly.

This disclosure provides methods, devices and systems for a vehicle user equipment (VUE) to obtain extrinsic information about an object or location. The VUE may transmit a request for information about the object or the location to a road side unit (RSU). The RSU may receive the request and determine a set of extrinsic information for the first UE regarding the object or the location based on a set of information from one or more other UEs. The extrinsic information includes information that is not provided by the VUE. The RSU may transmit the set of extrinsic information to the VUE. The VUE may determine whether to accept a feature of the object or the location in the extrinsic information based on the set of extrinsic information and a set of intrinsic information detected by the VUE, The VUE may select an autonomous driving action based on the accepted feature.

A soft body system adapted to form the body and exterior surface of a Guided Soft Target for testing crash avoidance technologies in a subject vehicle is disclosed. The soft body system is adapted to be mounted atop a motorized Dynamic Motion Element (DME) and when so mounted is adapted to collide with the subject vehicle while the DME is moving. The soft body system includes a semi-rigid form with an exterior surface. The form is sufficiently yielding so as to impart a minimal force to the subject vehicle upon impact. The form may be shaped like a vehicle or a part of a vehicle. The exterior surface includes a side skirt made of radar absorptive material (RAM), radar reflective material (RRM) or a combination of both, which is positioned adjacent to the ground and constructed to prevent radar wave from entering the soft body system.

A three-dimensional data creation method includes: creating first three-dimensional data from information detected by a sensor; receiving encoded three-dimensional data that is obtained by encoding second three-dimensional data; decoding the received encoded three-dimensional data to obtain the second three-dimensional data; and merging the first three-dimensional data with the second three-dimensional data to create third three-dimensional data.