Gm Global Technolgoy Operations, Inc.

Gm Cruise Holdings LLC

Kevin Chu

Gabriel Warshauer-Baker

Sohrab Haghighat

Kyle Vogt

Dennis W Jackson

Mahesh K Seetharaman

Ian Rust

Gautier Minster

Brooks Reed

Shiva Ghose

Drew Gross

Matthias Wisniowski

Solomon Bier

Yung-Chang Ko

Matthew Graney

Rita Ciarvino

Various technologies described herein pertain to generating an occupancy grid movie for utilization in motion planning for the autonomous vehicle. The occupancy grid movie can be generated for a given time and can include time-stepped occupancy grids for future times that are at predefined time intervals from the given time. The time-stepped occupancy grids include cells corresponding to regions in an environment surrounding the autonomous vehicle. Probabilities can be assigned to the cells specifying likelihoods that the regions corresponding to the cells are occupied at the future times. Moreover, cached query objects that respectively specify indices of cells of a grid occupied by a representation of an autonomous vehicle at corresponding orientations are described herein. An occupancy grid for the environment surrounding the autonomous vehicle can be queried to determine whether cells of the occupancy grid are occupied utilizing a cached query object from the cache query objects.

Occupancy grid movie system

A vehicle is received in a stationary controlled area of a controlled testing environment. Simulation inputs corresponding to a simulated scene are generated and transmitted to the vehicle. The vehicle applies torque in response. A vehicle control mechanism of the controlled testing environment, such as a chassis dynamometer, a motorized treadmill, or a lift, keeps the vehicle within the stationary controlled area during the test despite the torque applied by the vehicle. A path of the vehicle within the simulated scene is determined based on the applied torque, based upon which the vehicle's navigation system is calibrated.

Controlled testing environment for autonomous vehicle in simulated event

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

Various technologies described herein pertain to controlling an autonomous vehicle to suppress data corresponding to predefined static objects in a radar output generated by a radar sensor system. A computing system of the autonomous vehicle retrieves prior data for a geographic location from a prior radar space map. The prior radar space map includes prior data for geographic locations in an environment corresponding to whether predefined static objects to be suppressed in radar outputs are located at the geographic locations. The computing system generates a score representative of a likelihood of a tracked object being at the geographic location based on data from the radar output for the geographic location, data from an output of a second sensor system for the geographic location, and the prior data for the geographic location from the prior radar space map. An engine, braking system, and/or steering system are controlled based on the score.

Autonomous vehicle control using prior radar space map

A system and method for providing routing instructions to one or more autonomous vehicles includes identifying a destination of an autonomous vehicle; identifying a starting position or an initial location of the autonomous vehicle; receiving autonomous vehicle sensor data; receiving one or more routing goals for a routing plan for the autonomous vehicle; generating one or more route modification parameters; and generating a route plan for the autonomous vehicle based on (a) the destination, (b) the starting position or the initial location, (c) the one or more route modification parameters and (d) the one or more routing goals.

System and method for autonomous vehicle fleet routing

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

An autonomous vehicle retrofit system includes: a central computer; and a braking interface to decelerate a wheel of a vehicle via actuation of a brake caliper, the braking interface further including a brake pedal; a first master cylinder assembly, mechanically coupled to the brake pedal such that actuation of the brake pedal causes actuation of the first master cylinder assembly; a second master cylinder assembly, coupled to the central computer such that the central computer controls actuation of the second master cylinder assembly; and an actuator selector, hydraulically coupled to the brake caliper, that selectively actuates the brake caliper in response to actuation of at least one of the first master cylinder assembly and the second master cylinder assembly.

System for retrofitting vehicle automation

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

San Mateo, CA, United States of America

Kevin Chu