The task of motion forecasting is critical for self-driving vehicles (SD...
Standard convolutional neural networks assume a grid structured input is...
In this paper, we propose a neural motion planner (NMP) for learning to ...
Simulation has the potential to massively scale evaluation of self-drivi...
Many modern robotics systems employ LiDAR as their main sensing modality...
In order to plan a safe maneuver an autonomous vehicle must accurately
p...
Roads have well defined geometries, topologies, and traffic rules. While...