Abstract: An autonomous vehicle's control systems include an A-kit module that operates autonomy logic to generate a desired trajectory from sensor data. A B-kit module receives the desired trajectory and generates inputs for actuators such as steering, brake and throttle actuators based on the desired trajectory. Safing logic (which may be located in the A-kit, B-kit, both the A-kit and the B-kit or elsewhere within or outside of the vehicle) receives a sensor fault indication and executes a contingency trajectory such as a safing maneuver to bring the vehicle to a safe state.

Abstract: Methods and apparatus for self-driving vehicles to safely control transitions into and out of autonomy modes. The techniques may be used in a single autonomous vehicle or adapted to collaborative control of vehicles travelling in formation.

Abstract: Methods and apparatus for platoon behaviors that discourage other vehicles from interfering.

Abstract: In some scenarios, the approach may be used with two or more vehicles travelling in formation where selected vehicles may be fully or partially autonomously controlled. Information is collected at each vehicle and from the drivers and it is shared with other vehicles and drivers to make a collective decision to enter or leave autonomy.

Abstract: Methods and systems for optimizing allocation of personnel and equipment to on-highway freight movement. A network of segments and nodes are defined with relation to an existing highway system. Resources as units of work are then allocated and directed to use the network in particular ways. Improvements in equipment utilization, personnel utilization, transit time and driver at-home time are realized.

Abstract: Methods and apparatus for controlling two or more vehicles travelling in formation. Selected vehicles may be fully or partially autonomously controlled; at least one vehicle is partially controlled by a human driver. Information is collected at each vehicle and from the drivers and it is shared with other vehicles and drivers to create a shared world model. Aspects of the shared world model may be presented to the human driver, who may then respond with a control input. Autonomy systems and the drivers on the vehicles then collaborate to make a collective decision to act or not to act and execute any such action in a coordinated manner.

Abstract: Methods and apparatus for controlling two or more vehicles travelling in formation. Selected vehicles may be fully or partially autonomously controlled; at least one vehicle is partially controlled by a human driver. Information is collected at each vehicle and from the drivers and it is shared with other vehicles and drivers to create a shared world model. Aspects of the shared world model may be presented to the human driver, who may then respond with a control input. Autonomy systems and the drivers on the vehicles then collaborate to make a collective decision to act or not to act and execute any such action in a coordinated manner.

Abstract: Methods and apparatus that reduce demands on behavior of autonomous vehicles operating in a convoy, such as lane following or leader swap.

Abstract: Techniques for operating an autonomous follower vehicle that is following a leader vehicle. A desired path to be traversed by the follower may be determined from a Leader Follower Relative Pose (LFRP) derived from sensor data. A pursuit pose is derived along the desired path from the present leader pose, such as either interpolating backward or forward. As a result, the pursuit distance no longer needs to be the same as the distance derived solely from the LFRP.