A system and method for reliably determining lanes of a roadway includes an optical sensing arrangement for sensing metallic striping from photoelectric effect. The location of the striping that defines a border of a traffic lane is determined and the location of the striping is displayed on a graphical user interface. The location can be used to provide lane control to ensure the vehicle maintains proper position in a traffic lane, lane warning assistance, collision avoidance, parking control, and guidance for autonomous driving.

A vehicle control device recognizes a second self-position, which is obtained by correcting a first self-position, and an orientation of a vehicle on a road, on which the vehicle is traveling, based on a situation around the vehicle, the first self-position, and map information, determines a steering control mode and a speed control mode of the vehicle based on the second self-position and the orientation of the vehicle, and performs automated driving by controlling the vehicle based on the determined control modes. When the vehicle is scheduled to advance from a first lane to a second lane and it is not possible to recognize a target associated with a road indicating an end point of a merging section, a determiner determines a steering angle control mode for searching for the target based on the second self-position and the orientation of the vehicle.

A vehicle control method of an autonomous vehicle for a right and left turn at a crossroad includes: determining whether a second vehicle intends to change a lane while passing a front or a rear of a first vehicle in order to move to a target lane for the right and left turn at the crossroad; controlling the first vehicle to decelerate when it is determined that the second vehicle intends to change the lane while passing the front of the first vehicle; determining whether the second vehicle is entering the first lane toward the front or the rear of the first vehicle; calculating a steering amount of the second vehicle when it is determined that the second vehicle is entering the first lane toward the front of the first vehicle; and controlling the first vehicle to decelerate according to the steering amount.

Techniques for performing a sensor calibration using sequential data is disclosed. An example method includes receiving, from a first camera located on a vehicle, a first image comprising at least a portion of a road comprising lane markers, where the first image is obtained by the camera at a first time; obtaining a calculated value of a position of an inertial measurement (IM) device at the first time; obtaining an optimized first extrinsic matrix of the first camera by adjusting a function of a first actual pixel location of a location of a lane marker in the first image and an expected pixel location of the location of the lane marker; and performing autonomous operation of the vehicle using the optimized first extrinsic matrix of the first camera when the vehicle is operated on another road or at another time.

A yaw stability control system is provided for a motor vehicle. The system includes one or more cameras, a plurality of wheel speed sensors, a yaw angle sensor, and a steering angle sensor. The system further includes an electric motor connected to a reaction wheel. The system further includes a processor and a memory including instructions such that the processor is programmed to: determine a desired yaw angle of the motor vehicle based on a video signal, speed signals, a yaw signal, and a steering signal. The processor is further programmed to generate an actuation signal associated with the desired yaw angle. The electric motor angularly rotates the reaction wheel at a predetermined angular rate in a predetermined rotational direction to produce a counter-acting torque that rotates the motor vehicle to the desired yaw angle, in response to the electric motor receiving the actuation signal from the processor.

A vehicle control device, a vehicle control method, and a vehicle control system according to the present invention obtain an inter-vehicle time based on a relative distance between a first vehicle traveling, in front of an own vehicle, in a second lane adjacent to a first lane in which the own vehicle travels and a second vehicle traveling in the second lane in front of the first vehicle and based on a relative velocity of the first vehicle relative to the second vehicle, obtain a relative acceleration of the first vehicle relative to the second vehicle, set the first vehicle as a high-stress vehicle based on a lane change space that is based on the inter-vehicle time, the relative acceleration, and a relative distance between the second vehicle and a third vehicle traveling in the first lane in front of the own vehicle, and output a control command for changing a driving state of the own vehicle based on a relative distance between the high-stress vehicle and the own vehicle. This makes it possible to improve the driving safety of a vehicle on a road with multiple lanes in each direction.

A system for instructing an Autonomous Vehicle (AV) to perform a minimal risk condition maneuver comprises a fleet of AVs and an oversight server. The oversight server receives macro information that applies to a plurality of AVs from the fleet. The oversight server generates a batch command based on the macro information. The batch command is associated with one or more conditions. The oversight server determines whether each AV meets the one or more conditions. If the oversight server determines that the AV meets the one or more conditions, the oversight server sends the batch command to the AV. The batch command includes instructions to perform a minimal risk condition maneuver.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. Example embodiments disclosed herein provide enhanced high-precision operation of an AV in low-speed environments, such as a toll booth facility or heavy traffic. One example method disclosed herein includes a control computer identifying a starting point of the toll booth facility on the roadway and a plurality of toll lanes associated with the toll booth facility; selecting a particular toll lane; determining a trajectory for the AV that extends through the particular toll lane; and in response to the autonomous vehicle arriving at the starting point for the toll booth facility, transmitting, over a subsystem interface to one or more drive subsystems of the AV, instructions configured to cause the drive subsystems to operate together to cause the AV to travel according to the trajectory.

A method for operating a driver assistance function to support a lateral control of a vehicle is provided. A permissible range for a steering torque component which the driver assistance function is able to exert on the steering of the vehicle is predefined. The permissible range is specified by upper and lower limits. The upper and lower limits of the permissible range be adapted as a function of a current vehicle state. The vehicle state is given relative to a lane center, for example, by the position, the velocity, the acceleration and the sudden motion, by the respective component of this variable in the lateral direction. An adjustable range of the driver feedback is determined based on the vehicle state and the lateral acceleration. From this and the consideration of a disturbance compensation, the permissible range of the steering torque component of the assistance function is ascertained.

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.