Driving Scene Retrieval with an Integrated Similarity Measure Using Driving Behavior and Environment Information

Author:

Li Yiyang1,Miyajima Chiyomi1,Kitaoka Norihide1,Takeda Kazuya1

Affiliation:

1. Graduate School of Information Science, Nagoya University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference18 articles.

1. (1) National motor vehicle crash causation survey: “Report to congress 2008c” (2008)

2. (2) A. Pentland and A. Liu: “Modeling and prediction of human behavior”, Neural computation, Vol. 11, No. 1, pp. 229-242 (1999)

3. (3) N. Oliver and A. Pentland: “Graphical models for driver behavior recognition in a smartcar”, IEEE Intelligent Vehicles Symposium, pp. 7-12 (2000)

4. (4) D. Mitrovic: “Reliable method for driving events recognition”, IEEE Trans. Intelligent Transportation Systems, Vol. 6, No. 2, pp. 198-205 (2005)

5. (5) M. Naito, C. Miyajima, T. Nishino, N. Kitaoka, and K. Takeda: “A browsing and retrieval system for driving data”, IEEE Intelligent Vehicles Symposium, pp. 1159-1165 (2010)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RSG-Search Plus:An Advanced Traffic Scene Retrieval Methods based on Road Scene Graph;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. RSG-Search: Semantic Traffic Scene Retrieval Using Graph-Based Scene Representation;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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