METHODS AND SYSTEMS FOR TRAFFIC LIGHT LABELLING VIA MOTION INFERENCE

Provided are methods for offline perception motion inference, which can include obtaining map data indicative of an environment and obtaining data associated with at least one agent. The method can include determining a trajectory for the agent and matching the trajectory of the agent with a lane co...

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Bibliographic Details
Main Authors FONG, Whye, SRINIVASAN, Abirami, GEROMICHALOS, Dimitrios, CAESAR, Holger
Format Patent
LanguageEnglish
French
Published 18.04.2024
Subjects
CALCULATING
COMPUTING
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
COUNTING
GYROSCOPIC INSTRUMENTS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
NAVIGATION
PERFORMING OPERATIONS
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
SIGNALLING
SURVEYING
TESTING
TRAFFIC CONTROL SYSTEMS
TRANSPORTING
VEHICLES IN GENERAL
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Summary:Provided are methods for offline perception motion inference, which can include obtaining map data indicative of an environment and obtaining data associated with at least one agent. The method can include determining a trajectory for the agent and matching the trajectory of the agent with a lane connector. The method can also include determining a traffic light parameter. Systems and computer program products are also provided. La présente invention concerne des procédés d'inférence de mouvement de perception hors ligne, qui peuvent consister à obtenir des données de carte indiquant un environnement et à obtenir des données associées à au moins un agent. Le procédé peut consister à déterminer une trajectoire pour l'agent et à mettre en correspondance la trajectoire de l'agent avec un connecteur de voie. Le procédé peut également consister à déterminer un paramètre de feu de circulation. La présente invention concerne également des systèmes et des produits programmes d'ordinateur.
Bibliography:Application Number: WO2023US76383