Abstract: An autonomous vehicle is disclosed that includes a velocity sensor; a radar system; a digital storage medium; and a controller in communication with the digital storage medium, radar system, and the velocity sensor. The controller, for example, may retrieve map data from the digital storage medium; receive current radar data from the radar system; receive autonomous vehicle velocity data from the velocity sensor; identify radar data points in the current radar data that represent objects in motion; remove radar data points from the current radar data that represent objects in motion; and/or match the radar data with the map data to return location data.

Abstract: An autonomous vehicle is disclosed. The autonomous vehicle may include a sensor array; an engine output control system; a braking control system; and a controller. The controller may be communicatively coupled with the sensor array, the engine output control system, and the braking control system. The controller may be configured to: sense an environment with the sensor array to produce sensor data; receiving autonomous vehicle state data; determining whether the autonomous vehicle state data is above a threshold state value; in the event the autonomous vehicle state data is above a threshold state value, not using the sensor data to operate the autonomous vehicle; and in the event the autonomous vehicle state data is not above a threshold state value, using the sensor data to operate the autonomous vehicle.

Abstract: Systems and methods are disclosed for a semantic information sharing within a group of autonomous ground vehicles. In some embodiments, a method may include sensing an environment near a first autonomous vehicle to produce first environmental data; creating a first mathematical model representing the environment near the first autonomous vehicle based on the first environmental data; sending a request for additional environmental data to a second autonomous vehicle; receiving a second mathematical model from the second autonomous vehicle; and merging the second mathematical model with the first mathematical model.

Abstract: An autonomous vehicle urgent stop system is disclosed. The autonomous vehicle urgent stop system may include one or more vehicle sensors and/or one or more environmental sensors that either part of the autonomous vehicle or separate from the autonomous vehicle sensors. The urgent stop system may map a safe-stop trajectory for the autonomous vehicle based on the trajectory of the autonomous vehicle and environmental data received from an environmental sensor. The safe-stop trajectory ends in the autonomous vehicle being stopped. In response to an emergency trigger event, the urgent stop system may direct the autonomous vehicle to follow the safe-stop trajectory.

Abstract: An autonomous vehicle is disclosed that includes a velocity sensor; a radar system; a digital storage medium; and a controller in communication with the digital storage medium, radar system, and the velocity sensor. The controller, for example, may retrieve map data from the digital storage medium; receive current radar data from the radar system; receive autonomous vehicle velocity data from the velocity sensor; identify radar data points in the current radar data that represent objects in motion; remove radar data points from the current radar data that represent objects in motion; and/or match the radar data with the map data to return location data.

Abstract: Embodiments of an autonomous vehicle are disclosed. In some embodiments, the autonomous vehicle includes a sensor array that can produce sensor data. The autonomous vehicle further includes a transceiver that can communicate with and receive data from at least a base station. Further, the autonomous vehicle includes a controller communicatively coupled with the sensor array and the transceiver. The controller includes code that receives a navigation plan data via the transceiver and navigates the autonomous vehicle along a navigation path specified in the navigation plan in such a manner as to avoid an interaction with one or more actual obstacles, in and around the navigation path, detected based at least in part on the sensor data.

Abstract: Systems and methods are discussed to direct an autonomous loader to a dump truck. In some embodiments, a method may include receiving dump truck geolocation data for a dump truck; receiving loader geolocation data for an autonomous loader; raising a bucket on the autonomous loader to a height; directing the autonomous loader toward the dump truck using the loader geolocation data and the dump truck geolocation data so that the bucket is positioned above a body or bed of the dump truck; and rotating the bucket downward to release a load in the bucket into the body or bed of dump truck.

Abstract: Systems and methods are disclosed for a semantic information sharing within a group of autonomous ground vehicles. In some embodiments, a method may include sensing an environment near a first autonomous vehicle to produce first environmental data; creating a first mathematical model representing the environment near the first autonomous vehicle based on the first environmental data; sending a request for additional environmental data to a second autonomous vehicle; receiving a second mathematical model from the second autonomous vehicle; and merging the second mathematical model with the first mathematical model.