Abstract: A map of an area can be generated describing an occupancy status for each of a plurality of sub-areas in the area. A first message including the map is transmitted. A second message is transmitted including an updated occupancy status for one or more of, and less than all, of the sub-areas.

Abstract: A target location from a set of points that define a road can be selected. A path, from a plurality of candidate paths, to the target location, from a current vehicle location outside the set of points, based on a path length, a collision risk, a curvature of the path, and a traffic condition on the road can be selected. The vehicle can be navigated according to the selected path.

Abstract: A sensor system is disclosed. The sensor system may comprise a housing; an emitter, carried by the housing, that emits a beam comprising depth-data signals; a beam-distribution adjustment system; and a processor programmed to control the adjustment system by selectively changing an angular distribution of the depth-data signals emitted from the housing.

Abstract: An infrastructure element includes a computer that includes a processor and a memory. The memory stores instructions executable by the processor such that the computer is programmed to classify a traffic condition of a road segment based on data received from an object detection sensor with a field of view including the road segment and that is communicatively connected to the computer. The computer is programmed to broadcast, to an area including the road segment, a vehicle-to-vehicle communication parameter, determined based on the classified traffic condition and specifying one or more of (i) a channel identifier, (ii) a transmission rate, (iii) a transmission power, or (iv) a message size.

Abstract: In a message receiver, a receipt timestamp is assigned according to a time of wirelessly receiving a message. Object data about an object is extracted from the message, including a timestamp adjustment for the object from a message sender. An estimated sender capture timestamp is assigned to the object by subtracting the timestamp adjustment and an estimated message transmission latency from the receipt timestamp; a receiver capture timestamp is assigned to receiver object data captured in the receiver. The sender object data and the receiver object data are combined according to the estimated sender capture timestamp and the receiver capture timestamp, thereby generating combined object data.

Abstract: A situational awareness system is described that comprises a processor and memory storing instructions executable by the processor. The instructions comprise to: determine at least one object of interest relative to a target vehicle; determine an assignment optimization at least one of a plurality of mobile devices to the at least one object of interest; and assign the at least one of the plurality of mobile devices to the at least one object of interest.

Abstract: A system comprises a computer including a processor, and a memory. The memory stores instructions such that the processor is programmed to determine two or more clusters of vehicle operating parameter values from each of a plurality of vehicles at a location within a time. Determining the two or more clusters includes clustering data from the plurality of vehicles based on proximity to two or more respective means. The processor is further programmed to determine a reportable condition when a mean for a cluster representing a greatest number of vehicles varies from a baseline by more than a threshold.

Abstract: A computer includes a processor, and a memory storing instructions such that the processor. The processor is programmed to detect a plurality of objects proximate to an infrastructure node. The processor is further programmed to determine respective priorities for each of the objects based on respective characteristics of the objects; and include the objects in a wireless message to a vehicle based on the priorities.

Abstract: An infrastructure node and a method of using the node. The node may comprise a processor and memory. The memory may store instructions executable by the processor that include, to: identify a hazard to a target vehicle; and based on the identification, transmit a private message to the target vehicle using a line-of-sight (LOS) transmission.

Abstract: A computer includes a processor, and a memory storing instructions such that the processor. The processor is programmed to detect a plurality of objects proximate to an infrastructure node. The processor is further programmed to determine respective priorities for each of the objects based on respective characteristics of the objects; and include the objects in a wireless message to a vehicle based on the priorities.

Abstract: A system includes a light source configured to emit light in a wavelength in a visible range and a wavelength in an infrared range, and a vehicle including an infrared camera, and a computer programmed to identify an object based at least in part on an infrared image from the camera.

Abstract: A system includes a computer including a processor and a memory, the memory storing instructions executable by the processor to determine that a steering disturbance based on a difference between current vehicle state data and corresponding vehicle state model data exceeds a threshold, the vehicle state model including a yaw rate and a vehicle speed and, then, identify a wheel misalignment condition.

Abstract: A system includes a processor configured to receive a plurality of traffic reports corresponding to individual road segments of an interconnected road network of road segments. The processor is also configured to determine a mitigation strategy, utilizing one or more temporary traffic controls existing for the individual road segments, designed to minimize overall traffic congestion on the road network and send control instructions for the one or more temporary traffic controls, instructing control in accordance with the determined mitigation strategy.

Abstract: An infrastructure node and a method of using the node. The node may comprise a processor and memory. The memory may store instructions executable by the processor that include, to: identify a hazard to a target vehicle; and based on the identification, transmit a private message to the target vehicle using a line-of-sight (LOS) transmission.

Abstract: Respective priorities are assigned to data about each of a plurality of objects based on a collision severity and a classification of each of the objects. A message is generated including at least some of the data ordered according to the priorities.

Abstract: Upon a determination to execute a lane change, a light-based request communication, including a security key, can be sent to a target vehicle to negotiate the lane change. Upon receiving a light-based response communication from the target vehicle, the lane change can be executed.

Abstract: A map of an area can be generated describing an occupancy status for each of a plurality of sub-areas in the area. A first message including the map is transmitted. A second message is transmitted including an updated occupancy status for one or more of, and less than all, of the sub-areas.

Abstract: A map is received in a vehicle. The map is generated from infrastructure node sensor data specifying a location and a measurement of a physical value controlling vehicle operation at the location. A maneuver for the vehicle is determined based in part on the physical value and the location.

Abstract: A system includes a light source configured to emit light in a wavelength in a visible range and a wavelength in an infrared range, and a vehicle including an infrared camera, and a computer programmed to identify an object based at least in part on an infrared image from the camera.

Abstract: In a computer mounted to a stationary support structure a vehicle and an object proximate to the support structure can be detected from data from a sensor mounted to the support structure. A risk condition can be identified based on the detected vehicle and object.