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1. WO2020139391 - VEHICLE-BASED VIRTUAL STOP AND YIELD LINE DETECTION

Publication Number WO/2020/139391
Publication Date 02.07.2020
International Application No. PCT/US2018/068035
International Filing Date 28.12.2018
IPC
G08G 1/16 2006.01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
16Anti-collision systems
B60W 30/08 2012.01
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
08Predicting or avoiding probable or impending collision
G01C 21/26 2006.01
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
21Navigation; Navigational instruments not provided for in groups G01C1/-G01C19/104
26specially adapted for navigation in a road network
G06N 20/00 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
CPC
G01C 21/3492
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
21Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
26specially adapted for navigation in a road network
34Route searching; Route guidance
3453Special cost functions, i.e. other than distance or default speed limit of road segments
3492employing speed data or traffic data, e.g. real-time or historical
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
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
G08G 1/0141
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
0137for specific applications
0141for traffic information dissemination
G08G 1/164
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
16Anti-collision systems
164Centralised systems, e.g. external to vehicles
Applicants
  • DIDI RESEARCH AMERICA, LLC [US]/[US]
Inventors
  • CHEN, Qi
Agents
  • ALTMAN, Daniel E.
Priority Data
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) VEHICLE-BASED VIRTUAL STOP AND YIELD LINE DETECTION
(FR) DÉTECTION VIRTUELLE DE LIGNE POUR CÉDER LE PASSAGE OU MARQUER UN ARRÊT BASÉE SUR UN VÉHICULE
Abstract
(EN)
A vehicle can include an on-board data processing system that receives sensor data captured by various sensors of the vehicle. As a vehicle travels along a route, the on-board data processing system can process the captured sensor data to identify a potential vehicle stop. The on-board data processing system can then identify geographical coordinates of the location at which the potential vehicle stop occurred, use artificial intelligence to classify a situation of the vehicle at the potential stop, and determine whether the stop was caused by an unmarked intersection or a location at which vehicles typically yield to oncoming traffic using the classification and/or map data. If the stop was caused by an unmarked intersection or a yielding maneuver, the on-board data processing system can generate virtual stop or yield line data corresponding to the identified geographic coordinates and transmit this data to a server over a network for processing.
(FR)
Un véhicule peut comprendre un système de traitement de données embarqué qui reçoit des données de capteur capturées par divers capteurs du véhicule. Lorsqu'un véhicule se déplace le long d'un itinéraire, le système de traitement de données embarqué peut traiter les données de capteur capturées afin d'identifier un arrêt de véhicule potentiel. Le système de traitement de données embarqué peut ensuite identifier des coordonnées géographiques de l'emplacement auquel l'arrêt de véhicule potentiel s'est produit, utiliser une intelligence artificielle pour classifier une situation du véhicule au niveau de l'arrêt potentiel, et déterminer si l'arrêt a été provoqué par une intersection non marquée ou un emplacement auquel des véhicules cèdent généralement le passage au trafic arrivant en sens inverse à l'aide des données de classification et/ou de carte. Si l'arrêt a été provoqué par une intersection non marquée ou une manœuvre pour céder le passage, le système de traitement de données embarqué peut générer des données virtuelles de ligne pour céder le passage ou marquer un arrêt correspondant aux coordonnées géographiques identifiées et transmettre lesdites données à un serveur via un réseau pour le traitement.
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