Patent classifications
B60W2520/14
Estimation of terramechanical properties
A system for estimating tire parameters for an off-road vehicle in real time, the system including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to measure a position of the vehicle at a first time, determine, based on the position, motion characteristics of the vehicle, predict, based on the motion characteristics, a position of the vehicle at a second time, measure a position of the vehicle at the second time, and generate a tire parameter associated with the vehicle based on the predicted position and the measured position of the vehicle at the second time.
VEHICLE COLLISION AVOIDANCE ASSIST APPARATUS AND VEHICLE COLLISION AVOIDANCE ASSIST PROGRAM
A vehicle collision avoidance assist apparatus keeps stopping a collision avoidance control when a forbiddance condition is satisfied, and a collision condition is satisfied. The forbiddance condition is a condition that the collision angle is equal to or greater than a predetermined collision angle threshold. The collision condition is a condition that an own vehicle is going to collide with an object. While the own vehicle turns, the apparatus acquires an own vehicle turning angle which the own vehicle has turned about a turning center from when the own vehicle starts turning and sets the predetermined collision angle threshold such that the predetermined collision angle threshold set for the greater own vehicle turning angle is smaller than the predetermined collision angle threshold set for the smaller own vehicle turning angle.
VEHICLE BOUNDARY CONTROL
A system, comprising a computer including a processor and a memory storing instructions executable by the processor to determine a first lateral boundary for movement of a vehicle. The first lateral boundary is parallel to a longitudinal axis of the vehicle and is based on at least a size of the vehicle. Based on at least the size of the vehicle and a detected yaw rate of the vehicle, the instructions include to determine a wind condition at a location. The instructions include to update a distance of the first lateral boundary from the longitudinal axis to obtain an updated first lateral boundary, based on the wind condition.
VEHICLE COLLISION AVOIDANCE ASSIST APPARATUS AND VEHICLE COLLISION AVOIDANCE ASSIST PROGRAM
A vehicle collision avoidance assist apparatus keeps stopping a collision avoidance control to avoid a collision of an own vehicle with an object ahead of the own vehicle when the own vehicle turns, a predetermined condition is satisfied, and a collision condition is satisfied. While the own vehicle turns, the apparatus acquires an own vehicle turning angle which is an angle which the own vehicle has turned about a turning center from when the own vehicle starts turning and change the predetermined condition, depending on the own vehicle turning angle.
VEHICLE ROW FOLLOW SYSTEM
A vehicle row follow system may include a vehicle comprising at least one sensor to output signals serving as a basis for a three-dimensional (3D) point cloud and to output signals corresponding to a two-dimensional (2D) image of a region forward the vehicle. The system may further include a non-transitory computer readable medium containing instructions to direct a processor to: determine plan row lines in a 2D image; determine a yaw of the vehicle based upon a slope of a heading line relative to a centerline between the plant row lines in the 2D image; determine a lateral offset of the vehicle from the centerline between the consecutive plant rows based upon an identity of the consecutive plant rows in the 3D point cloud; and output steering control signals based upon the determined yaw and lateral offset of the vehicle.
TRAVELING CONTROL APPARATUS
A traveling control apparatus to be applied to a vehicle includes at least one processor that is configured to function as a driving assistance controller. In a case where a preceding vehicle traveling ahead of the vehicle changes from a pre-switching preceding vehicle to a post-switching preceding vehicle, the driving assistance controller is configured to set a control target point in such a way that an object to be tracked is switched stepwise from the pre-switching preceding vehicle to the post-switching preceding vehicle. The driving assistance controller is configured to cause steering control to be performed in such a way that the vehicle tracks the set control target point.
METHODS AND SYSTEMS FOR MONITORING DRIVING AUTOMATION
The present disclosure provides methods and systems for monitoring a driving automation system of a vehicle. An example system comprises a vehicle interface for connecting to a forward-facing camera mounted on the vehicle to receive video data, a microphone for recording audio signals from inside the vehicle, an internal measurement unit (IMU) for generating vehicle motion signals comprising at least a lateral acceleration signal, a longitudinal acceleration signal, and a yaw angular acceleration signal, and a processor connected to process the video data, audio signals and vehicle motion signals to determine whether the driving automation signal is engaged or disengaged.
VEHICLE ASSIST SERVER, PROCESSING METHOD FOR VEHICLE ASSIST SERVER, AND STORAGE MEDIUM
A vehicle assist server performs a vehicle assist for an object vehicle using a previously generated assist content, based on object vehicle data including a traveling state of the object vehicle and position information about the object vehicle on a map. The vehicle assist server includes a prevalence degree estimation unit, a prevalence degree determination unit, and a registration unit.
SYSTEM AND METHOD IN VEHICLE PATH PREDICTION BASED ON ODOMETRY AND INERTIAL MEASUREMENT UNIT
An apparatus includes an inertial measurement unit (IMU) configured to detect motion characteristics of a vehicle. The apparatus also includes an odometry system configured to detect a wheel speed of each wheel of the vehicle. The apparatus further includes at least one processor communicatively connected to the IMU and the odometry system, the at least one processor configured to determine first parameters for predicting a path of the vehicle, determine second parameters for predicting the path of the vehicle, and predict the path of the vehicle using a combination of the first parameters and the second parameters, wherein the combination is weighted based on a longitudinal acceleration of the vehicle obtained using the IMU.
TURN SIGNAL CANCELATION SYSTEMS AND METHODS FOR TWO-WHEELED VEHICLES
In a turn signal cancelation system for a two-wheeled vehicle, a controller is adapted to automatically cancel the turn signal of the vehicle upon: (a) a determined distance traveled by the vehicle after an occurrence of the predetermined operation of the vehicle exceeding a first distance threshold and a determined yaw angle traversed by the vehicle after the occurrence of the predetermined operation of the vehicle exceeding a yaw angle threshold; and (b) the determined distance traveled by the vehicle after the occurrence of the predetermined operation of the vehicle exceeding a second distance threshold, different from the first distance threshold, independent of the determined yaw angle traversed by the vehicle after the occurrence of the predetermined operation of the vehicle.