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1. US20180292824 - Automatic tuning of autonomous vehicle cost functions based on human driving data

Office
United States of America
Application Number 15700689
Application Date 11.09.2017
Publication Number 20180292824
Publication Date 11.10.2018
Grant Number 10168705
Grant Date 01.01.2019
Publication Kind B2
IPC
G05D 1/00
GPHYSICS
05CONTROLLING; REGULATING
DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
1Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
G08G 1/01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
G05D 1/02
GPHYSICS
05CONTROLLING; REGULATING
DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
1Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
02Control of position or course in two dimensions
CPC
G05D 1/0088
GPHYSICS
05CONTROLLING; REGULATING
DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
1Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
0088characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
G05D 1/0221
GPHYSICS
05CONTROLLING; REGULATING
DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
1Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
02Control of position or course in two dimensions
021specially adapted to land vehicles
0212with means for defining a desired trajectory
0221involving a learning process
G05D 2201/0213
GPHYSICS
05CONTROLLING; REGULATING
DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
2201Application
02Control of position of land vehicles
0213Road vehicle, e.g. car or truck
G08G 1/0112
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0108based on the source of data
0112from the vehicle, e.g. floating car data [FCD]
G08G 1/0129
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0125Traffic data processing
0129for creating historical data or processing based on historical data
Applicants Uber Technologies, Inc.
Inventors Moslem Kazemi
Jacob Panikulam
Chenggang Liu
Andy Lee
David McAllister Bradley
Charles R. Hogg, III
Agents Dority & Manning, PA
Title
(EN) Automatic tuning of autonomous vehicle cost functions based on human driving data
Abstract
(EN)

The present disclosure provides systems and methods that enable an autonomous vehicle motion planning system to learn to generate motion plans that mimic human driving behavior. In particular, the present disclosure provides a framework that enables automatic tuning of cost function gains included in one or more cost functions employed by the autonomous vehicle motion planning system.