Abstract: Disclosed are autonomous vehicles and processes for verifying LiDAR signal data before relying on the visual sensors to navigate the autonomous vehicle through the operating environment and autonomous vehicles and processes for accurately determining implement position and/or orientation before continuing to operate the implement within the operating environment. The LiDAR signal data may be verified by looking for expected noise in the signal data, by observing expected movement of an implement, or by comparing an odometry dataset based on the LiDAR signal data to GPS and/or wheel speed data of the autonomous vehicle. The implement may be autonomously operated based on an implement sensor signal that may be verified by comparing implement sensor signal data to corresponding LiDAR signal data (e.g., when adjusting the position and/or orientation of the implement) or based on primarily relying on the LiDAR signal data to confirm the position and/or orientation of the implement.

Abstract: Disclosed are autonomous vehicles and processes for verifying LiDAR signal data before relying on the visual sensors to navigate the autonomous vehicle through the operating environment and autonomous vehicles and processes for accurately determining implement position and/or orientation before continuing to operate the implement within the operating environment. The LiDAR signal data may be verified by looking for expected noise in the signal data, by observing expected movement of an implement, or by comparing an odometry dataset based on the LiDAR signal data to GPS and/or wheel speed data of the autonomous vehicle. The implement may be autonomously operated based on an implement sensor signal that may be verified by comparing implement sensor signal data to corresponding LiDAR signal data (e.g., when adjusting the position and/or orientation of the implement) or based on primarily relying on the LiDAR signal data to confirm the position and/or orientation of the implement.

Abstract: Systems and methods for determining the order of autonomous vehicles proceeding through the intersection locally by the autonomous vehicles are disclosed. The method may include determining the presence of overlapping regions between paths of different autonomous vehicles. The method may also include assigning one of the autonomous vehicles as the authority to decide which autonomous vehicle should proceed through the intersection before all other autonomous vehicles.

Abstract: An autonomous vehicle system and method is disclosed that allows an operator to override a stop command issued from an obstacle detection and avoidance subsystem of the autonomous vehicle. Most autonomous vehicles include an obstacle detection and avoidance subsystem that detects potential obstacles along the path of the autonomous vehicle and may send a command to stop the autonomous vehicle. When the obstacle detection and avoidance subsystem detects a potential obstacle (regardless of whether the potential obstacle does or does not exist) and the path is still traversable, the autonomous vehicle may still stop unnecessarily. The disclosed system and methods will allow an operator to override commands issued by the obstacle detection and avoidance subsystem and allow the autonomous vehicle to continue along the path regardless of any potential obstacle.

Abstract: Systems and methods for determining the order of autonomous vehicles proceeding through the intersection locally by the autonomous vehicles are disclosed. The method may include determining the presence of overlapping regions between paths of different autonomous vehicles. The method may also include assigning one of the autonomous vehicles as the authority to decide which autonomous vehicle should proceed through the intersection before all other autonomous vehicles.

Abstract: An autonomous vehicle system and method is disclosed that allows an operator to override a stop command issued from an obstacle detection and avoidance subsystem of the autonomous vehicle. Most autonomous vehicles include an obstacle detection and avoidance subsystem that detects potential obstacles along the path of the autonomous vehicle and may send a command to stop the autonomous vehicle. When the obstacle detection and avoidance subsystem detects a potential obstacle (regardless of whether the potential obstacle does or does not exist) and the path is still traversable, the autonomous vehicle may still stop unnecessarily. The disclosed system and methods will allow an operator to override commands issued by the obstacle detection and avoidance subsystem and allow the autonomous vehicle to continue along the path regardless of any potential obstacle.