In some implementations, a computing device may identify an image captured of a driving scene associated with a vehicle. The computing device may create a feature map based on the image. The computing device may detect a traffic light associated with the i...

A device may receive video data and corresponding GPS data and IMU data associated with a vehicle, and may process the video data, with an object detector model, to identify objects and to generate a first feature vector. The device may process the GPS dat...

A device may receive traffic data associated with a vehicle, may generate a node-based graph based on the traffic data, and may generate an edge-based graph, a vertex order, and original arcs based on the node-based graph. The device may identify additiona...

A device may generate, based on traffic data associated with a vehicle, a CCCH that includes a node-based graph, a priority order of links, original arcs, CCH arcs, and arc configurations for the CCH arcs. The device may receive a road edit associated with...

This disclosure presents a system and method for aligning diverse map types and transforming coordinates between them. The method involves receiving a map, selecting an alignment map, and choosing an alignment method. The system then performs the alignment...

A device may receive current location data and vehicle data associated with a vehicle traveling to a destination, and traffic data identifying traffic and roads in a geographical location associated with the vehicle. The device may generate a route for the...

In some implementations, an adverse environment detection system may receive an image of a road scene associated with a vehicle. The adverse environment detection system may determine a set of features associated with the image based on providing the image...