Abstract: Systems and methods for trajectory prediction are provided. A method can include obtaining LIDAR data, radar data, and map data; inputting the LIDAR data, the radar data, and the map data into a network model; transforming, by the network model, the radar data into a coordinate frame associated with a most recent radar sweep in the radar data; generating, by the network model, one or more features for each of the LIDAR data, the transformed radar data, and the map data; combining, by the network model, the one or more generated features to generate fused feature data; generating, by the network model, prediction data based at least in part on the fused feature data; and receiving, as an output of the network model, the prediction data. The prediction data can include a respective predicted trajectory for a future time period for one or more detected objects.

Abstract: Systems and methods for trajectory prediction are provided. A method can include obtaining LIDAR data, radar data, and map data; inputting the LIDAR data, the radar data, and the map data into a network model; transforming, by the network model, the radar data into a coordinate frame associated with a most recent radar sweep in the radar data; generating, by the network model, one or more features for each of the LIDAR data, the transformed radar data, and the map data; combining, by the network model, the one or more generated features to generate fused feature data; generating, by the network model, prediction data based at least in part on the fused feature data; and receiving, as an output of the network model, the prediction data. The prediction data can include a respective predicted trajectory for a future time period for one or more detected objects.

Abstract: The present disclosure provides systems and methods for controlling a sensor system. More particularly, a sensor control system can access respective first data and second data descriptive of one or more monitored parameters associated with a first sensor of an autonomous vehicle. Based on the first data and the second data, the sensor control system can determine that a change in the one or more monitored parameters between the first sensor and the one or more second sensors has exceeded a predetermined threshold level. In response, the sensor control system can implement a control action relative to at least the first sensor (e.g., initiating cleaning of the first sensor, adjusting alignment of the first sensor, determining a compensation factor for the first data received from the first sensor, or communicating a signal request for service of the first sensor).