Gm Global Technolgoy Operations, Inc.

Sohrab Haghighat

Kevin Chu

Brooks Reed

Kyle Vogt

Shiva Ghose

Gautier Minster

Yiqi Gao

Drew Gross

Jeremy Allan

Yu-Cheng Lin

Daniel Chen

An autonomous vehicle configured to perform a lane change maneuver is described herein. The autonomous vehicle includes several different types of sensor systems, such as image, lidar, radar, sonar, infrared, and GPS. The autonomous vehicle additionally includes a computing system that executes instructions on a lane change detection system and a control system. The lane change detection system includes a region of interest module and an object trajectory module for determining whether the autonomous vehicle will collide with another object if the autonomous vehicle maneuvers into an adjacent lane. An instruction module of the lane change detection system is further used to facilitate operational control of a mechanical system of the autonomous vehicle, such as an engine or a steering system.

Lane change detection system and method for an autonomous vehicle

Systems and methods are provided for generating a vehicle path to operate an autonomous vehicle. A method includes using a lateral re-entry planner system to correct for a lateral reentry error. A longitudinal re-entry planner system is used to correct a longitudinal reentry error. Path correction commands are generated based upon the corrections provided by the lateral re-entry planner system and the longitudinal re-entry planner system.

Systems and methods for autonomous vehicle path follower correction

Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, a lane plan; determining, by a processor, from the lane plan an upcoming turn; determining, by a processor, if the upcoming turn is at least one of an unprotected left turn, an inside right turn, and an inside left turn; when at least one of an unprotected left turn, an inside right turn, and an inside left turn is determined, modifying, by a processor, a lane boundary; and controlling the vehicle based on the modified lane boundary.

Relaxable turn boundaries for autonomous vehicles

Systems and methods are provided for controlling an autonomous vehicle. A method includes using a lateral controller system for determining a vehicle's curvature. A longitudinal controller system is used for determining desired vehicle acceleration. The longitudinal controller system uses a control loop with respect to a velocity error and a feedforward term. Commands are generated based on the output of the lateral controller system and the longitudinal controller system.

Systems and methods for low level feed forward vehicle control strategy

A method includes identifying a current position of the vehicle, using sensor data; generating, via a processor, an initial corridor seeding based upon the current position of the vehicle and physical characteristics of the road, without consideration of any other objects on the roadway; identifying a plurality of objects along a first side of the roadway, the first side including a side of the roadway in which the vehicle is traveling, using the sensor data; generating, via the processor, a target first boundary for the corridor based on the identified plurality of objects along the first side of the roadway; generating, via the processor, a target second boundary on a second side of the roadway, opposite the first side; and adjusting, via the processor, the initial corridor seeding based on the target first and second boundaries, thereby generating the corridor of travel for the vehicle along the roadway.

Road corridor

Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: obtaining ride preference information associated with a user, identifying a current vehicle pose, determining a motion plan for the vehicle along a route based at least in part on the ride preference information, the current vehicle pose, and vehicle kinematic and dynamic constraints associated with the route, and operating one or more actuators onboard the vehicle in accordance with the motion plan. The user-specific ride preference information influences a rate of vehicle movement resulting from the motion plan.

Personalized autonomous vehicle ride characteristics

In one embodiment, a method for selecting a parking location for an autonomous vehicle includes: obtaining data pertaining to a current ride of the autonomous vehicle during operation of the autonomous vehicle; determining, by a processor using the data, when the autonomous vehicle is proximate a destination; and, when the autonomous vehicle is proximate the destination: identifying, by the processor using the data, a plurality of potential parking locations proximate the destination; calculating, by the processor using the data, a respective score for each of the potential parking locations using a plurality of factors; and selecting, by the processor using the data, a selected parking location of the potential parking locations based on the respective score of each of the potential parking locations.

Parking scoring for autonomous vehicles

A system and method for autonomous vehicle driving behavior modification include: receiving passenger driving behavior preferences for setting a driving behavior of an autonomous vehicle; generating driving behaviors controls based on the passenger driving behavior preferences; setting an initial driving behavior of the autonomous vehicle using the driving behavior controls, wherein setting the initial driving behavior comprises providing the driving behavior controls to be implemented by the autonomous vehicle during one or more routes involving the passenger; aggregating vehicle behavior feedback relating to a driving behavior of the autonomous vehicle during the one or more routes; and modifying the driving behavior of the autonomous vehicle based on the vehicle behavior feedback.

Growing community of inventors

Emeryville, CA, United States of America

Sohrab Haghighat