Robotics & Machine Learning Daily News2024,Issue(Jan.12) :30-31.

Findings from Nanjing University of Science and Technology Update Understanding of Intelligent Transportation Systems (A Multimodal Trajectory Prediction Method for Pedestrian Crossing Considering Pedestrian Motion State)

Robotics & Machine Learning Daily News2024,Issue(Jan.12) :30-31.

Findings from Nanjing University of Science and Technology Update Understanding of Intelligent Transportation Systems (A Multimodal Trajectory Prediction Method for Pedestrian Crossing Considering Pedestrian Motion State)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Transportation - Intelligent Transportation Systems. According tonews reporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, researchstated, “Predicting pedestrian crossing trajectories has become a primary task in aiding autonomous vehiclesto assess risks in pedestrian-vehicle interactions. As agile participants with changeable behavior, pedestriansare often capable of choosing from multiple possible crossing trajectories.”Funders for this research include National Key R&D Program of China, National Natural ScienceFoundation of China (NSFC).

Key words

Nanjing/People’s Republic of China/Asia/Intelligent Transportation Systems/Transportation/Nanjing University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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