Patent classifications
B60W2554/802
System and method for proactive lane assist
A proactive pedal algorithm is used to modify an accelerator pedal map to ensure the deceleration when the accelerator pedal is released matches driver expectation. Modifying the accelerator pedal map provides the driver of a vehicle the sensation that the vehicle resists moving when travelling in dense scenes with potentially high deceleration requirements and coasts easily in scenes with low deceleration requirements. The accelerator pedal map is modified based on a scene determination to classify other remote vehicles as in-lane, neighbor-lane, or on-coming.
Systems and methods for providing a graphical representation of following distances to an augmented reality vehicle heads-up display system
A vehicle type database includes a plurality of vehicle type profiles. Each of the vehicle type profiles is associated with a vehicle type having a vehicle type specific aerodynamic profile and includes optimal following ranges associated with the vehicle type. Each of the optimal following distance ranges is based on the vehicle type specific aerodynamic profile of the vehicle type and a vehicle speed of the vehicle type wherein a trailing vehicle disposed in the optimal following range is configured to operate at an optimal fuel efficiency. A first optimal following distance range is identified based on a first vehicle type and a first vehicle speed using a first vehicle type profile associated with the first vehicle type. A command is issued to the AR vehicle HUD display system to display a graphical representation of the first optimal following distance to overlay an actual view of the road.
VEHICLE CONTROL DEVICE, VEHICLE, VEHICLE CONTROL METHOD AND STORAGE MEDIUM
A vehicle control device controls travel of a vehicle by performing state transition for a plurality of control states having different driving assistance levels based on vehicle surrounding information. The vehicle control device comprises: an acquisition unit configured to acquire the vehicle surrounding information; and a control unit configured to control the state transition and braking operation of the vehicle based on the information acquired by the acquisition unit, wherein, based on the information, the control unit is configured to transition from a first control state set for travel of the vehicle to a second control state with a lower driving assistance level in a case where it is determined that another vehicle is crossing a lane line in front of the vehicle in a lane where the vehicle is traveling.
Driver Assistance in Low Speed Range
A method provides driver assistance in a motor vehicle in particularly dense and confusing traffic conditions in the low-speed range. It is possible to adjust the distance in dense traffic so that it is not too great whilst at the same time ensuring that the driver does not always have to vary the position of the accelerator pedal. The accelerator is controlled in accordance with the distance and thus the speed or accelerator is automatically throttled as the distance decreases.
SYSTEMS AND METHODS FOR OPERATING AN AUTONOMOUS VEHICLE
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.
APPARATUS AND METHOD FOR CONTROLLING DISTANCE FROM A FRONT VEHICLE
An apparatus for controlling a distance from a front vehicle includes a receiver to receive information on a host vehicle and information on the front vehicle, an acceleration generator to generate one of first acceleration for the host vehicle or second acceleration for the host vehicle, based on the received information on the host vehicle and the received information on the front vehicle and an output device to output the generated first acceleration or the generated second acceleration.
SYSTEM AND METHOD IN VEHICLE PATH PREDICTION BASED ON FULL NONLINEAR KINEMATICS
An apparatus includes at least one camera configured to capture an image of a traffic lane in front of a vehicle. The apparatus also includes a radar transceiver configured to detect one or more target vehicles proximate to the vehicle. The apparatus further includes a path prediction and vehicle detection controller configured to determine first parameters for predicting a path of the vehicle; determine second parameters for predicting the path of the vehicle; predict the path of the vehicle using a combination of the first parameters and the second parameters, where the combination is weighted based on a speed of the vehicle; identify one of the one or more target vehicles as a closest in path vehicle based on the predicted path of the vehicle; and activate at least one of a braking control and a steering control based on a proximity of the identified closest in path vehicle.
Method, device, and system of controlling movement of multi-vehicle, and computer-readable storage medium
A method of controlling movement of multi-vehicle includes acquiring a constraint condition under which vehicles move and a calculation cycle for calculating movement routes of the vehicles; acquiring a position of each vehicle; specifying a target position for each vehicle; calculating, based on the position of each vehicle, the target position, and the constraint condition, a movement route for prediction steps of each vehicle; determining, based on the movement routes of the vehicles, a driving condition of each vehicle from a current time to a unit time; and controlling movement of each vehicle. Calculating the movement route including performing optimization calculation based on an evaluation function, evaluation of which becomes higher as a deviation between the vehicle and the target position for each prediction step becomes smaller, and the constraint condition, to calculate the movement route.
System and method for remote automated vehicle alignment with a trailer for hitching
- Kyle Simmons ,
- Luke Niewiadomski ,
- Roger Trombley ,
- Frederic Christen ,
- Christoph Kessler ,
- Katherine Rouen ,
- Erick Michael Lavoie ,
- Hamid M. Golgiri ,
- Bruno Sielly Jales Costa ,
- Nikhil Nagraj Rao ,
- Vidya Nariyambut Murali ,
- John Michael Celli ,
- Frank Golub ,
- Seyed Armin Raeis Hosseiny ,
- Bo Bao ,
- Siyuan Ma ,
- Hemanth Yadav Aradhyula
A system for assisting in aligning a vehicle for hitching with a trailer includes a vehicle steering system, a wireless communication module, a detection system outputting a signal including scene data of an area to a rear of the vehicle, and a controller. The controller receives, via the wireless communication module, an automated hitching initiation command from an external wireless device, receives the scene data and identifying the trailer within the area to the rear of the vehicle, derives a backing path to align a hitch ball mounted on the vehicle to a coupler of the trailer, and controls the vehicle steering system to maneuver the vehicle including reversing along the backing path.
Long range localization with surfel maps
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to generate long range localization. One of the methods includes obtaining, for a particular location of a vehicle having a camera and a detection sensor, surfel data including a plurality of surfels. Each surfel in the surfel data has a respective location and corresponds to a different respective detected surface in an environment. Image data captured by the camera is obtained. It is determined that a region of interest for detecting objects for a vehicle planning process is outside a detectable region for the detection sensor. In response, it is determined that the image data for the region of interest matches surfel color data for the surfels corresponding to the region of interest. In response, the vehicle planning process is performed with the region of interest designated as having no unexpected objects.