Abstract: Described herein are systems and methods for determining if a vehicle is parked. In one example, a system includes a processor, a sensor system, and a memory. Both the sensor system and the memory are in communication with the processor. The memory includes a parking determination module having instructions that, when executed by the processor, cause the processor to determine, using a random forest model, when the vehicle is parked based on vehicle estimated features, vehicle learned features, and vehicle taillight features of the vehicle that are based on sensor data from the sensor system.

Abstract: A system for producing a trajectory from a diverse set of possible movements can include a processor and a memory. The memory can store a possible movement production module and a trajectory production module. The possible movement production module can include instructions that cause the processor to: (1) produce a set of possible movements of a mobile robot with respect to a challenge, (2) determine a measure of diversity between a first possible movement and a second possible movement, and (3) produce a subset. Measures of diversity associated with possible movements included in the subset can be larger than measures of diversity associated with possible movements excluded from the subset. The trajectory production module can include instructions that cause the processor to: (1) produce trajectories associated with the possible movements included in the subset and (2) cause the mobile robot to move according to one of the trajectories.

Abstract: Described herein are systems and methods for determining if a vehicle is parked. In one example, a system includes a processor, a sensor system, and a memory. Both the sensor system and the memory are in communication with the processor. The memory includes a parking determination module having instructions that, when executed by the processor, cause the processor to determine, using a random forest model, when the vehicle is parked based on vehicle estimated features, vehicle learned features, and vehicle taillight features of the vehicle that are based on sensor data from the sensor system.