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公开(公告)号:EP3992938A1
公开(公告)日:2022-05-04
申请号:EP20382936.1
申请日:2020-10-28
摘要: A traffic light control device which comprises a central processing unit (CPU), a detection sensor, connected to the CPU for detecting vehicles and/or pedestrians surrounding the traffic light, and a deep neural processing module, connected to the detections sensor for analyzing the data obtained, and a power source for supplying power; and a method which comprises the steps of when the traffic light is red for pedestrians detecting a number of pedestrians and modifying the time for changing to green light for pedestrians, and when the traffic light is red for vehicles detecting a number of vehicles and modifying the time for changing to green light for vehicles.
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82.
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公开(公告)号:EP3966796A1
公开(公告)日:2022-03-16
申请号:EP20718714.7
申请日:2020-03-27
发明人: HOWELL, Shaun , KNUTINS, Maksis , PATEL, Rushen
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84.
公开(公告)号:EP3822942A1
公开(公告)日:2021-05-19
申请号:EP20207085.0
申请日:2020-11-12
发明人: HUANG, Xuan , YANG, Fan , YUAN, Hui , SUN, Yongyi , WANG, Chengfa , XU, Qiqi
IPC分类号: G08G1/08
摘要: Embodiments of the present disclosure provide a timing control method and a timing control apparatus for a signal light, and a storage medium. The method includes: determining an optimal passing-through duration of a signal light corresponding to each passing-through direction at a target intersection according to traffic in the passing-through direction; determining a range of values for each variable in a calibration function corresponding to the target intersection according to a constraint to each passing-through direction at the target intersection, wherein the calibration function comprises the optimal passing-through duration corresponding to each passing-through direction and a variable corresponding to a final passing-through duration in each passing-through direction; and calculating the final passing-through duration in each passing-through direction in a case where the calibration function meets a preset condition, according to the range of values for each variable.
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公开(公告)号:EP3671687A1
公开(公告)日:2020-06-24
申请号:EP18213035.1
申请日:2018-12-17
发明人: BRANDIN, Magnus , LANDFORS, Per
IPC分类号: G08G1/01 , G08G1/08 , G08G1/04 , G08G1/0967
摘要: A method for detecting patterns in traffic light behaviours. The method comprises scanning (110) an intersection by a cloud connected vehicle using on-board sensors and analysing (130) the scanning information in the cloud. The method further comprises predicting (140) a traffic light state in the cloud based on the analysis of the scanning information and displaying (160) the predicted traffic light state in the vehicle.
Corresponding apparatus, service and system are also disclosed.-
公开(公告)号:EP2759997B1
公开(公告)日:2020-05-06
申请号:EP11872617.3
申请日:2011-09-20
IPC分类号: G08G1/16 , G08B13/196 , G08B25/00 , G08G1/08 , G06K9/00
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公开(公告)号:EP3594920A1
公开(公告)日:2020-01-15
申请号:EP18182422.8
申请日:2018-07-09
发明人: HELMY, Noorhan
IPC分类号: G08G1/01 , G08G1/08 , G08G1/081 , G08G1/0967
摘要: Computer-implemented method for generating a traffic control signal for controlling a traffic approaching a traffic light, wherein at least one vehicle is detected at a first time at a first position of the road upstream the traffic light, wherein a prediction model predicts based on the detected first time a second time at which the vehicle will reach a second position, wherein the second position is closer at the traffic light than the first position, wherein the traffic control signal is generated considering the predicted second time.
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公开(公告)号:EP2759998B1
公开(公告)日:2018-11-28
申请号:EP11872739.5
申请日:2011-09-20
发明人: KINDO, Toshiki , OGAWA, Masahiro , FUNAYAMA, Ryuji
CPC分类号: G06K9/00369 , B60W2420/40 , B60W2550/10 , G06K9/00342 , G06K9/00348 , G06K9/00805 , G08G1/08 , G08G1/166
摘要: According to the present invention, a pedestrian is detected from an imaged image and a partial image including the pedestrian is extracted, shape information of the pedestrian acquired from the extracted partial image is accumulated and the shape information of a predetermined time before and the current shape information are compared using the accumulated shape information to detect change in the movement of the pedestrian, discontinuous movement estimating information indicating a discontinuous movement of the pedestrian that occurs following the change in the movement of the pedestrian is acquired from a storage means at the time the change in the movement of the pedestrian is detected, and a behavior of the pedestrian is predicted using the acquired discontinuous movement estimating information.
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