Systems and methods include receiving probe data and sensor data from a mobile device, comparing conditions defined by the probe data and the sensor data to a requirement to enable a driver assistance feature for the mobile device, determining that the conditions fail to meet the requirement to enable the driver assistance feature based on the probe data and the sensor data, and outputting a navigation message to the mobile device providing for remote control of the mobile device when the conditions fail to meet the requirement to enable the driver assistance feature.

Techniques for collision avoidance using an object contour are discussed. A trajectory associated with a vehicle may be received. Sensor data can be received from a sensor associated with the vehicle. A bounding contour may be determined and associated with an object represented in the sensor data. Based on the trajectory, a simulated position of the vehicle can be determined. Additionally, a predicted position of the bounding contour can be determined. Based on the simulated position of the vehicle and the predicted position of the bounding contour, a distance between the vehicle and the object may be determined. An action can be performed based on the distance between the vehicle and the object.

A travel control method comprises: detecting a travelable road area of the road area in which the subject vehicle can travel; generating a potential field in a space of the travelable road area in which a potential value of a left-side boundary line and a right-side boundary line are set to different values from each other; calculating a travelable road area width by applying the Potential Method; comparing the difference between a lateral position of a travel route set on the basis of the calculated travelable road area width and a lateral position of the travel route set in advance in the travelable road area on the basis of the left-side boundary line or the right-side boundary line; correcting the potential value; regenerating the potential field set to the corrected potential value; generating the travel route applying the Potential Method to the regenerated potential field; executing autonomous travel control.

A system 100 for autonomous vehicle operation can include: a low-level safety platform 130; and can optionally include and/or interface with any or all of: an autonomous agent 102, a sensor system, a computing system 120, a vehicle communication network 140, a vehicle control system 150, and/or any suitable components. The system functions to facilitate fallback planning and/or execution at the autonomous agent. Additionally or alternatively, the system can function to transition the autonomous agent between a primary (autonomous) operation mode and a fallback operation mode.

A stop control device which is a control device includes a gradient acquisition unit that acquires a road surface gradient; a drive instruction unit that executes a stopping drive instruction process for instructing a drive device to set a driving force of the vehicle to a magnitude corresponding to the road surface gradient when stopping the vehicle on a climbing road; and a braking instruction unit that executes a stopping braking instruction process of stopping the vehicle by instructing a braking device to apply a braking force corresponding to a required acceleration to the vehicle when stopping the vehicle on the climbing road.

Systems and methods communicate an intent of an autonomous vehicle externally. In one implementation, scan data of a field around a travel path of an autonomous vehicle is obtained. The scan data is captured using at least one sensor. An object in the field around the travel path is determined from the scan data. The object is determined to be mutable or immutable. A navigation condition associated with the object is determined based on whether the object is mutable or immutable. The navigation condition is correlated to a portion of the travel path. Control operation(s) of the autonomous vehicle is determined for the portion of the travel path in response to the navigation condition. A representation link between the control operation(s) of the autonomous vehicle and the object is generated. A representation of the field around the travel path is rendered and includes the representation link.

The objective of the present invention is to provide a vehicle speed control device which makes it easier to match an actual vehicle speed to a target vehicle speed, thereby providing an improved driving sensation and limiting the use of a main brake on downhill gradients. This vehicle speed control device for controlling the vehicle speed of a vehicle provided with a plurality of auxiliary brakes includes: a computing unit for computing a required deceleration torque on the basis of a running resistance of the vehicle; and a control unit for selecting an auxiliary brake to be operated, from among the plurality of auxiliary brakes, in accordance with the deceleration torque, and causing the selected auxiliary brake to operate.

An automotive electronic dynamics control system for a motor-vehicle equipped with and automotive automated driving system designed to cause the motor-vehicle to perform low-speed manoeuvres in automated driving.

The automotive automated driving system comprises an automotive sensory system designed to detect motor-vehicle-related quantities, and automotive actuators comprising an Electric Power Steering, a Braking System, and a Powertrain.

The electronic dynamics control system is designed to implement a Driving Path Planner designed to: receive data representative of static obstacles in the surroundings of the motor-vehicle and representing static space constraints to the motion of the motor-vehicle, and compute, based on the received data, a planned driving path for the motor-vehicle during a low-speed manoeuvre performed in automated driving.

The electronic dynamics control system is further designed to implement a Model Predictive Control (MPC)-based Trajectory Planner and Controller designed to: receive from the Driving Path Planner data representative of the planned driving path and from the automotive sensory system data representative of positions and orientations of the motor-vehicle and of dynamic obstacles in the surroundings of the motor-vehicle and representing dynamic space constraints to the motion of the motor-vehicle, and compute, based on the received data, a planned lateral trajectory and a planned longitudinal trajectory for the motor-vehicle during the low-speed manoeuvre performed in automated driving.

The electronic dynamics control system is further designed to implement a Motion Controller designed to: receive from the Trajectory Planner and Controller data representative of the planned lateral and longitudinal trajectories, and compute commands for the Electric Power Steering based on the planned lateral trajectory, and for the Braking System and the Powertrain based on the planned longitudinal trajectory.

The Driving Path Planner is designed to compute the planned driving path as a planned driving corridor within which the motor-vehicle may be driven and made up of a series of driving path segments each with a length and an orientation referenced in an inertial reference frame.

The MPC-based Trajectory Planner and Controller comprises: an MPC-based Lateral Trajectory Planner and Controller designed to compute the planned lateral trajectory as a series of steering requests referenced in a motor-vehicle reference frame; and an MPC-based Longitudinal Trajectory Planner and Controller designed to compute the planned longitudinal trajectory as a series of longitudinal acceleration requests.

The Late

A method includes identifying route data including a threshold arrival time for a route for an autonomous vehicle (AV) and calculating, based on the route data and a fuel-efficient speed value for each segment of the route, an estimated arrival time. Responsive to the estimated arrival time not meeting the threshold arrival time, the method includes identifying at least a subset of segments that each represent a candidate for speed increase, computing, for each segment in the subset and based on the fuel economy data, a correlation metric that indicates a correlation between a change in fuel economy and a change in speed for a corresponding segment in the subset, and increasing, for at least one segment from the subset and based on a respective correlation metric, a fuel-efficient speed value of the corresponding segment from the subset to provide a speed profile reflecting the increased fuel-efficient speed value.

An information processing apparatus of a moving body includes: a sensing information acquisition part which acquires sensing information indicative of a situation of the outside of the moving body by a sensor mounted on the moving body for detecting an object; a traveling obstruction determination part which determines a mode of other moving body which travels near the moving body using the sensing information; and a movement request generation part which controls a movement request transmitted to the moving body using a determination result of the mode of the other moving body.