Abstract: A set of first candidate topologies of first candidate roadside infrastructure nodes at respective mounting locations in a geographic area is randomly generated. For each of the first candidate topologies, first simulations, including detection of objects according to selected sensor parameters, installation parameters, and environment parameters for the candidate nodes at the respective mounting locations, are executed. First fitness scores are determined for each of the first candidate topologies by comparing results of the first simulations to ground truth data. Upon identifying one of the first fitness scores as exceeding a threshold, the candidate topology associated with the identified first fitness score is identified for deployment.

Abstract: A set of first candidate topologies of first candidate roadside infrastructure nodes at respective mounting locations in a geographic area is randomly generated. For each of the first candidate topologies, first simulations, including detection of objects according to selected sensor parameters, installation parameters, and environment parameters for the candidate nodes at the respective mounting locations, are executed. First fitness scores are determined for each of the first candidate topologies by comparing results of the first simulations to ground truth data. Upon identifying one of the first fitness scores as exceeding a threshold, the candidate topology associated with the identified first fitness score is identified for deployment.

Abstract: Data is received from a vehicle in a stationary support structure. One or more physical attributes of an infrastructure element is determined based on the vehicle data.

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.

Abstract: A vehicle includes a memory configured to store a dynamic occupancy grid of observed objects within a space surrounding the vehicle, the dynamic occupancy grid being generated based on information identified by sensors of the vehicle and based on information wirelessly received to the vehicle from connected actors, the connected actors including one or more connected vehicles or roadway infrastructure elements. The vehicle further includes a processor programmed to identify a maneuver space of the dynamic occupancy grid required to complete a driving maneuver responsive to intent to perform a vehicle maneuver, utilize the dynamic occupancy grid to identify obstacles within the maneuver space, and authorize the maneuver with the connected actors based on type and location of the obstacles identified within the maneuver space.

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, comprising a processor; and a memory, the memory including instructions to be executed by the processor to acquire a first image of a scene, acquire a second image of the scene while illuminating the scene, identify pixel blooming in a subtracted image determined by subtracting the first image from the second image, remediating the pixel blooming based on empirically determined parameters, and operate a vehicle based on the subtracted image.

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: Data is received from a vehicle in a stationary support structure. One or more physical attributes of an infrastructure element is determined based on the vehicle data.

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.

Abstract: Various embodiments of the present disclosure provide systems and methods for provide monitoring a vehicle's surroundings, predicting when a navigation route will pass through a closed road, preemptively modifying the navigation route to avoid the closed road, identifying changes in speed limit, and identifying dangerous debris in the roadway. One embodiment of the camera-based vehicle control system includes a camera configured to obtain image information and a processor configured to: analyze the image information; if a reroute condition is satisfied based on the image information, implement an alternate navigation route; if a threat condition is satisfied based on the image information, cause an output device to output a threat alert; and if a speed condition is satisfied based on the image information, modify a vehicle speed setting.

Abstract: A system, comprising a processor; and a memory, the memory including instructions to be executed by the processor to acquire a first image of a scene, acquire a second image of the scene while illuminating the scene, identify pixel blooming in a subtracted image determined by subtracting the first image from the second image, remediating the pixel blooming based on empirically determined parameters, and operate a vehicle based on the subtracted image.

Abstract: A smart light assembly is provided for a motor vehicle. That smart light assembly includes an electronic sensing device dedicated to the smart light assembly, an adjustable beam light source and a controller directly connected to the adjustable beam light source. A smart lighting system is also disclosed.

Abstract: Various embodiments of the present disclosure provide systems and methods for provide monitoring a vehicle's surroundings, predicting when a navigation route will pass through a closed road, preemptively modifying the navigation route to avoid the closed road, identifying changes in speed limit, and identifying dangerous debris in the roadway. One embodiment of the camera-based vehicle control system includes a camera configured to obtain image information and a processor configured to: analyze the image information; if a reroute condition is satisfied based on the image information, implement an alternate navigation route; if a threat condition is satisfied based on the image information, cause an output device to output a threat alert; and if a speed condition is satisfied based on the image information, modify a vehicle speed setting.

Abstract: A smart light assembly is provided for a motor vehicle. That smart light assembly includes an electronic sensing device dedicated to the smart light assembly, an adjustable beam light source and a controller directly connected to the adjustable beam light source. A smart lighting system is also disclosed.

Abstract: Various embodiments of the present disclosure provide systems and methods for provide monitoring a vehicle's surroundings, predicting when a navigation route will pass through a closed road, preemptively modifying the navigation route to avoid the closed road, identifying changes in speed limit, and identifying dangerous debris in the roadway. One embodiment of the camera-based vehicle control system includes a camera configured to obtain image information and a processor configured to: analyze the image information; if a reroute condition is satisfied based on the image information, implement an alternate navigation route; if a threat condition is satisfied based on the image information, cause an output device to output a threat alert; and if a speed condition is satisfied based on the image information, modify a vehicle speed setting.

Abstract: A heads up display system includes a computer that is programmed to receive data from one or more sources in a vehicle. The computer is further programmed to identify respective subsets of the data to be provided to respective ones of a plurality of display devices, and to provide the respective subsets of the data to the respective display devices.

Abstract: Various embodiments of the present disclosure provide systems and methods for provide monitoring a vehicle's surroundings, predicting when a navigation route will pass through a closed road, preemptively modifying the navigation route to avoid the closed road, identifying changes in speed limit, and identifying dangerous debris in the roadway. One embodiment of the camera-based vehicle control system includes a camera configured to obtain image information and a processor configured to: analyze the image information; if a reroute condition is satisfied based on the image information, implement an alternate navigation route; if a threat condition is satisfied based on the image information, cause an output device to output a threat alert; and if a speed condition is satisfied based on the image information, modify a vehicle speed setting.

Abstract: A heads up display system includes a computer that is programmed to receive data from one or more sources in a vehicle. The computer is further programmed to identify respective subsets of the data to be provided to respective ones of a plurality of display devices, and to provide the respective subsets of the data to the respective display devices.