Title:
VEHICLE LANE CHANGE PREDICTION
Document Type and Number:
WIPO Patent Application WO/2019/127079
Kind Code:
A1
Abstract:
Examples of the present disclosure describe a method and a system for lane change prediction. The method comprises collecting raw driving data; extracting a plurality sets of features from the collected raw driving data; obtaining corresponding lane change information, the lane change information indicating a status of lane change of a vehicle under each of the extracted feature sets; automatically labelling each of the extracted plurality sets of features with the obtained corresponding lane change information; and training a lane change prediction model with the labelled plurality sets of features. Examples of the present disclosure further describe methods, systems, and vehicles for applying the lane change prediction model.
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Inventors:
XU TOMAS TAO (CN)
DOMLING MAXIMILIAN (CN)
XU GAVIN GAOWEI (CN)
DOMLING MAXIMILIAN (CN)
XU GAVIN GAOWEI (CN)
Application Number:
PCT/CN2017/118905
Publication Date:
July 04, 2019
Filing Date:
December 27, 2017
Export Citation:
Assignee:
BAYERISCHE MOTOREN WERKE AG (DE)
XU TOMAS TAO (CN)
XU TOMAS TAO (CN)
International Classes:
B60W30/00; G05D1/00
Foreign References:
| US20170357257A1 | 2017-12-14 | |||
| CN103605285A | 2014-02-26 | |||
| CN105631440A | 2016-06-01 | |||
| CN106828503A | 2017-06-13 |
Other References:
See also references of EP 3732085A4
Attorney, Agent or Firm:
SHANGHAI PATENT & TRADEMARK LAW OFFICE, LLC (CN)
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