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Patent Searching and Data


Title:
A PEDESTRIAN PROBABILITY PREDICTION SYSTEM FOR AUTONOMOUS VEHICLES
Document Type and Number:
WIPO Patent Application WO/2020/062032
Kind Code:
A1
Abstract:
A pedestrian probability prediction system for autonomous vehicles (101) is disclosed. The system receives a captured image perceiving an environment of an ADV from an image capturing device of the ADV (801); the system identifies an obstacle in motion near the ADV based on the captured image (802); the system predicts a location for the moving obstacle at each of a number of time points (803); the system generates a probability ellipse based on the predicted location at the each time point (804), where the probability ellipse includes a probability indicator indicating different probabilities of the moving obstacle for different locations within the probability ellipse at the each time point.

Inventors:
ZHU FAN (US)
MA LIN (CN)
Application Number:
PCT/CN2018/108357
Publication Date:
April 02, 2020
Filing Date:
September 28, 2018
Export Citation:
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Assignee:
BAIDU COM TIMES TECH BEIJING CO LTD (CN)
BAIDU USA LLC (US)
International Classes:
G05D1/02; B60W30/09
Foreign References:
CN106240560A2016-12-21
US20110246156A12011-10-06
CN105717923A2016-06-29
CN104417552A2015-03-18
JP2004103018A2004-04-02
Other References:
See also references of EP 3649527A4
Attorney, Agent or Firm:
INSIGHT INTELLECTUAL PROPERTY LIMITED (CN)
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