The disclosure relates to the technical field of autonomous driving, and provides a method for predicting a vehicle trajectory, a control apparatus, a readable storage medium, and a vehicle, to solve the problem of how to effectively deal with existing hig...

A method is provided for predicting trajectories of a plurality of road users. For each road user, a set of characteristics detected by a perception system of a vehicle is determined, wherein the set of characteristics includes specific characteristics ass...

The disclosed systems and techniques facilitate efficient prediction of crowd behavior and safe and courteous navigation of crowded areas in driving environments. An example disclosed system includes a sensing system and a data processing system of a vehic...

In various examples, a control stack may include a sequence of machine learning models (MLMs) respectively predicting a sequence of differentiable outputs to determine one or more control sequences. Disclosed approaches may be used to implement an AV stack...

Apparatuses, systems, and techniques to determine a trajectory (e.g., to be used to control a device). In at least one embodiment, an autonomous or semi-autonomous machine (e.g., a vehicle) is controlled based, at least in part on, for example, one or more...

Proactively mitigating risk to a vehicle traversing a vehicle transportation network includes identifying a location for a virtual vehicle. The virtual vehicle is added to a world object model maintained with respect to the vehicle. A trajectory is predict...