Abstract: Provided are systems and methods for controlling a vehicle based on a map that designed using a factor graph. Because the map is designed using a factor graph, positions of the road can be modified in real-time while operating the vehicle. In one example, the method may include storing a map which is associated with a factor graph of variable nodes representing a plurality of constraints that define positions of lane lines in a road and factor nodes between the variable nodes on the factor graph which define positioning constraints amongst the variable nodes, receiving an indication from the road using a sensor of a vehicle, updating positions of the variable nodes based on the indication and an estimated location of the vehicle within the map, and issue commands capable of controlling a steering operation of the vehicle based on the updated positions of the factor nodes.

Abstract: Provided are systems and methods for controlling a vehicle based on a map that designed using a factor graph. Because the map is designed using a factor graph, positions of the road can be modified in real-time while operating the vehicle. In one example, the method may include storing a map which is associated with a factor graph of variable nodes representing a plurality of constraints that define positions of lane lines in a road and factor nodes between the variable nodes on the factor graph which define positioning constraints amongst the variable nodes, receiving an indication from the road using a sensor of a vehicle, updating positions of the variable nodes based on the indication and an estimated location of the vehicle within the map, and issue commands capable of controlling a steering operation of the vehicle based on the updated positions of the factor nodes.

Abstract: Provided are systems and methods for controlling a vehicle based on a map that designed using a factor graph. Because the map is designed using a factor graph, positions of the road can be modified in real-time while operating the vehicle. In one example, the method may include storing a map which is associated with a factor graph of variable nodes representing a plurality of constraints that define positions of lane lines in a road and factor nodes between the variable nodes on the factor graph which define positioning constraints amongst the variable nodes, receiving an indication from the road using a sensor of a vehicle, updating positions of the variable nodes based on the indication and an estimated location of the vehicle within the map, and issue commands capable of controlling a steering operation of the vehicle based on the updated positions of the factor nodes.

Abstract: Provided are systems and methods for controlling a vehicle based on a map that designed using a factor graph. Because the map is designed using a factor graph, positions of the road can be modified in real-time while operating the vehicle. In one example, the method may include storing a map which is associated with a factor graph of variable nodes representing a plurality of constraints that define positions of lane lines in a road and factor nodes between the variable nodes on the factor graph which define positioning constraints amongst the variable nodes, receiving an indication from the road using a sensor of a vehicle, updating positions of the variable nodes based on the indication and an estimated location of the vehicle within the map, and issue commands capable of controlling a steering operation of the vehicle based on the updated positions of the factor nodes.

Abstract: An autonomous vehicle research system includes a vehicle having an attached frame and an engine. A sensing, control and data logging unit, mounted on the frame and in control communication with the engine senses vehicle operational parameters, controls the engine and to steering, and transmits operational data and log operational data. An operator control unit in communication with the sensing, control and data logging unit receives operational data from the sensing, control and data logging unit and presents visual real time display of the operational data. The operator control unit includes a manual cut-off switch that causes the engine to cease moving the vehicle. A remote control unit is manually switchable between a remote control mode and an autonomous control mode. In the remote control mode, the user controls the vehicle remotely. In the autonomous mode, the sensing, control and data logging unit controls the vehicle autonomously.

Abstract: An autonomous vehicle research system includes a vehicle having an attached frame and an engine. A sensing, control and data logging unit, mounted on the frame and in control communication with the engine senses vehicle operational parameters, controls the engine and to steering, and transmits operational data and log operational data. An operator control unit in communication with the sensing, control and data logging unit receives operational data from the sensing, control and data logging unit and presents visual real time display of the operational data. The operator control unit includes a manual cut-off switch that causes the engine to cease moving the vehicle. A remote control unit is manually switchable between a remote control mode and an autonomous control mode. In the remote control mode, the user controls the vehicle remotely. In the autonomous mode, the sensing, control and data logging unit controls the vehicle autonomously.