DATA-DRIVEN WARM START SELECTION FOR OPTIMIZATION-BASED TRAJECTORY PLANNING

Systems and methods for trajectory planning for an autonomous vehicle, may include: computing features for each of the plurality of candidate trajectories; computing scores for the features of the candidate trajectories, wherein the scores are based on parameter values associated with their correspo...

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Hauptverfasser: Ge, Jin, Baric, Miroslav, Cazenave, Timothee
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creator Ge, Jin
Baric, Miroslav
Cazenave, Timothee
description Systems and methods for trajectory planning for an autonomous vehicle, may include: computing features for each of the plurality of candidate trajectories; computing scores for the features of the candidate trajectories, wherein the scores are based on parameter values associated with their corresponding final trajectories; determining, based on the computed scores, a trajectory of the candidate trajectories to be used as a warm-start trajectory for trajectory optimization and applying the warm-start trajectory to develop a final trajectory for the vehicle; and autonomously operating the autonomous vehicle in accordance with the final trajectory.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
CONTROLLING
COUNTING
HANDLING RECORD CARRIERS
PERFORMING OPERATIONS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
REGULATING
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TRANSPORTING
VEHICLES IN GENERAL
title DATA-DRIVEN WARM START SELECTION FOR OPTIMIZATION-BASED TRAJECTORY PLANNING
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