Patent classifications
B60R2300/8086
Trailer hitching assist system with trailer coupler detection
A trailer assist system for a vehicle includes a camera disposed at a rear portion of a vehicle and having a field of view exterior and at least rearward of the vehicle, the field of view encompassing at least a portion of a trailer coupler of a trailer stationary a distance from the vehicle. The camera captures image data that is representative of at least the trailer coupler of the trailer. An ECU includes an image processor operable to process image data captured by the camera. The ECU, responsive to image processing at the ECU of image data captured by the camera, determines a location of the trailer coupler using a detector model, which is based on an ensemble regression tree algorithm.
Method for assisting a driver of a vehicle/trailer combination in maneuvering the vehicle/trailer combination, driver assistance system as well as motor vehicle
The invention relates to a method for assisting a driver of a vehicle/trailer combination (1) having a motor vehicle (2) and a trailer (4) in maneuvering the vehicle/trailer combination (1), wherein image data of a rear environmental region (12) of the vehicle/trailer combination (1) is captured by means of a rearward looking vehicle-side camera (6) and/or a rearward looking trailer-side camera (7), an image (B) of the rear environmental region (12) is created depending on the captured image data and displayed on a vehicle-side display device (14), wherein a position (20) of a part (15) of the trailer (4) movable between a stowage position and a use position is determined in the image (B), which is occupied by the part (15) by moving the part (15) from the stowage position into the use position increasing at least one geometric dimension (19) of the trailer (4), and a mark (M1) is displayed in this position (20) in the image (B) on the display device (14). The invention additionally relates to a driver assistance system (5) as well as to a motor vehicle (2).
Vehicle connection guidance
A vehicle connection guidance system may include a sensor and a controller. The sensor is configured to be supported by a vehicle having a first width and a connection interface, the connection interface having a second width different than the first width and along which multiple connection points lie, wherein the sensor is to output steering angle signals. The Controller is configured to output presentation signals based upon the steering angle signals The presentation signals are to generate a visual presentation of a projected path of the width of the connection interface to an operator of the vehicle.
Vehicular system for controlling vehicle
A vehicular vision system includes a camera disposed at an in-cabin side of a windshield of a vehicle. Responsive at least in part to processing of captured image data, the system determines a camera-derived path of travel of the vehicle along a road. Responsive at least in part to a geographic location of the vehicle, the system determines a geographic-derived path of travel of the vehicle along the road. Control of the vehicle along the road is based on diminished reliance on the determined geographic-derived path of travel when a geographic location reliability level of the determined geographic-derived path of travel is below a threshold geographic location reliability level. Control of the vehicle along the road is based on diminished reliance on the determined camera-derived path of travel of the vehicle when a camera reliability level of the determined camera-derived path of travel is below a threshold camera reliability level.
Fast CNN classification of multi-frame semantic signals
The present subject matter provides various technical solutions to technical problems facing advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems. In particular, disclosed embodiments provide systems and methods that may use cameras and other sensors to detect objects and events and identify them as predefined signal classifiers, such as detecting and identifying a red stoplight. These signal classifiers are used within ADAS and AV systems to control the vehicle or alert a vehicle operator based on the type of signal. These ADAS and AV systems may provide full vehicle operation without requiring human input. The embodiments disclosed herein provide systems and methods that can be used as part of or in combination with ADAS and AV systems.
PARKING ASSISTANCE DEVICE, PARKING ASSISTANCE METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
A parking assistance device includes an imager that captures an image of a surrounding of a vehicle, and a display that displays a guidance image for guiding the vehicle from a parking start position to a target parking position and displays a moving area in which the vehicle can move during a parking operation. An area and dimension of the moving area displayed on the display changes based on a change in a steering angle of the vehicle.
Method and system for steering control during reverse vehicle operation for maneuvering of a trailer
A system and method are provided for steering control during vehicle reverse operation when maneuvering a trailer in a reverse direction with a desired turn angle. The system has a P-I-D cascade structure and includes a rear video camera for providing images to determine a trailer angle, a yaw angle determination device, a steering angle sensor, a vehicle interior display with an input device, and a vehicle speed determination device. When a trajectory mode is selected and a desired turn angle value are received, an electronic processor determines a trailer trajectory based on the desired turn angle value, the trailer angle, vehicle yaw angle, and physical properties of the vehicle and trailer. The trailer trajectory is displayed on the vehicle interior display with the rear camera image. When a driver selects an automatic steering maneuver mode, the trailer tow assist system automatically controls steering of the vehicle.
VEHICULAR VISION SYSTEM WITH WINDSHIELD MOUNTED CAMERA
A vehicular vision system includes a camera module configured for mounting at an in-cabin portion of a windshield of a vehicle and including a circuit board and a camera that views forward of the vehicle and through the windshield. The camera includes an imaging sensor array. A data processor is operable to process image data captured by the imaging sensor array for at least one system of the vehicle. The imaging sensor array is electrically connected to circuitry of the circuit board via a flexible electrical connection. The imaging sensor array may be controlled via the flexible electrical connection. Image data captured by the imaging sensor array is carried via the flexible electrical connection. With the camera module mounted at the in-cabin portion of the windshield, the circuit board is tilted at an acute angle relative to the longitudinal axis of a lens barrel of the camera.
Vehicular vision system with enhanced functionality
A vehicular vision system includes a forward-viewing camera that views through a windshield forward of a vehicle. Responsive at least in part to processing by an image processor of image data captured by the forward-viewing camera while the equipped vehicle is traveling along a road, another vehicle on the road ahead of the equipped vehicle is detected, and the vehicular vision system may determine lateral acceleration of the detected other vehicle on the road ahead of the equipped vehicle. The vehicular vision system may generate an output based at least in part on the determined lateral acceleration of the detected other vehicle on the road ahead of the equipped vehicle. Responsive to determination that the equipped vehicle is approaching a school zone, pedestrian detection via image processing of image data captured by the forward-viewing camera may be enhanced.
Obstacle detection and notification for motorcycles
An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.