Patent classifications
B60W30/18145
ROAD CONDITION ADAPTIVE DYNAMIC CURVE SPEED CONTROL
Systems, devices, computer-implemented methods, and/or computer program products that facilitate dynamic curve speed control adaptive to road conditions. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components can comprise a curvature component, a road condition component, and a safety component. The curvature component can generate composite curvature data for a curve of a road preceding a vehicle using digital map data and lane marker data. The road condition component can generate friction data for a surface of the road using sensor data obtained from an on-board sensor of the vehicle. The safety component can determine a safe operational profile for traversing the curve using the composite curvature data and the friction data.
PARALLEL PROCESSING OF VEHICLE PATH PLANNING SUITABLE FOR PARKING
To determine a path through a pose configuration space, trajectories of poses may be evaluated in parallel based at least on translating the trajectories along at least one axis of the pose configuration space (e.g., an orientation axis). A trajectory may include at least a portion of a turn having a fixed turn radius. Turns or turn portions that have the same turn radius and initial orientation can be translatively shifted along and processed in parallel along the orientation axis as they are translated copies of each other, but with different starting points. Trajectories may be evaluated based at least on processing variables used to evaluate reachability as bit vectors with threads effectively performing large vector operations in synchronization. A parallel reduction pattern may be used to account for dependencies that may exist between sections of a trajectory for evaluating reachability, allowing for the sections to be processed in parallel.
TRAVEL CONTROL DEVICE, TRAVEL CONTROL METHOD, AND TRAVEL CONTROL PROGRAM
A travel control device is provided as a vehicle control ECU for controlling a travel of a vehicle. The vehicle control ECU includes: a resistance estimator estimating a cornering resistance, which is a travel resistance acting on the vehicle in a curved travel section where a curved travel of the vehicle is scheduled; a correction determiner determining whether the cornering resistance is out of an allowable resistance range; and a correction setter setting a correction amount when it is determined that the cornering resistance is out of the allowable resistance range.
SYSTEM AND METHOD FOR CONTROLLING THE GROUND SPEED OF AN AGRICULTURAL SPRAYER DURING A TURN
An agricultural sprayer includes a computing system configured to receive a first input associated with a target application rate at which agricultural fluid is to be dispensed onto the field. Moreover, the computing system is configured to receive a second input associated with a turn being made or to be made by the sprayer. Additionally, the computing system is configured to determine a maximum ground speed for the turn at which a selected nozzle dispenses the agricultural fluid onto the field at the target application rate based on the received first and second inputs. Furthermore, when the turn is being made, the computing system is configured to control an operation of the sprayer such that the ground speed of the sprayer is at or below the determined maximum ground speed.
Traveling trajectory correction method, traveling control method, and traveling trajectory correction device
A method for correcting a travelling trajectory of a vehicle which is executed by a processor includes: generating a subject vehicle travelling route that a subject vehicle travels based on map information stored in a database; calculating a travelling trajectory of the subject vehicle to be a target trajectory when the subject vehicle travels on the subject vehicle travelling route; detecting a position of another vehicle travelling on a lane located in a width direction of the subject vehicle by a sensor provided for the subject vehicle; calculating an offset of a position of the other vehicle in another vehicle lane that the other vehicle travels based on the position of the other vehicle; and correcting the travelling trajectory of the subject vehicle in accordance with the offset.
REMOTE CONTROL SYSTEM FOR A VEHICLE AND TRAILER
The systems and methods disclosed herein are configured to provide a mobile device for remotely controlling the movement of a vehicle and trailer. The mobile device provides a user engagement input for display and use of a control input. The control input may be used to generate a signal for controlling the movement of the vehicle and trailer.
Vehicle system
A vehicle system comprises an engine, a motor-generator and a controller. The engine has a combustion mode in which a part of an air-fuel mixture is combusted by spark ignition, and then the remaining air-fuel mixture is combusted by self-ignition. The controller sets a target additional deceleration based on a steering angle, when a steering wheel is turned, and sets an air-fuel ratio of the air-fuel mixture to either one of a first air-fuel ratio and a second air-fuel ratio which is on a lean side, based on an operating state, when the engine performs the combustion mode. The controller controls an ignition timing so as to generate the target additional deceleration in the first air-fuel ratio, and controls a regenerative electric power generation of the motor-generator so as to generate the target additional deceleration in the second air-fuel ratio.
Method of controlling braking when steering in-wheel motor vehicle
A method of controlling braking when steering an in-wheel motor vehicle includes monitoring a required tire rotation angle for each steering angle and an actual tire rotation angle when performing cooperative control of an in-wheel motor for reducing a steering load, and generating a vehicle braking force in a case where the actual tire rotation angle exceeds the required tire rotation angle, thereby easily preventing a vehicle-skidding phenomenon.
INTELLIGENT VEHICLE PLATOON LANE CHANGE PERFORMANCE EVALUATION METHOD
The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed. According to the method proposed in the present invention, the problem of lacking platoon lane change performance quantitative evaluation at present is solved, vehicle motion state parameters can be measured in a high-precision and comprehensive manner, multi-dimensional platoon lane change performance evaluation indexes are quantified and output, and comprehensive, accurate, and reliable scientific quantitative evaluation for platoon lane change performance is achieved.
SYSTEM FOR MANEUVERING A VEHICLE
A system for maneuvering a vehicle has a detection system, a prediction system, and a vehicle control system. The detection system is configured to detect a nearby vehicle adjacent to the vehicle. The prediction system is configured to calculate a predicted trajectory of the nearby vehicle upon receiving a detection result from the detection system. The vehicle control system is configured to maneuver the vehicle based on the predicted trajectory upon receiving a control signal from the prediction system. The vehicle control system maneuvers the vehicle to keep a specified distance away from the nearby vehicle. A method for maneuvering a vehicle includes detecting a nearby vehicle adjacent to the vehicle, calculating a predicted trajectory of the nearby vehicle, and maneuvering the vehicle based on the predicted trajectory to keep a specified distance away from the nearby vehicle.