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Author (up) Zhijie Fang; David Vazquez; Antonio Lopez
Title On-Board Detection of Pedestrian Intentions Type Journal Article
Year 2017 Publication Sensors Abbreviated Journal SENS
Volume 17 Issue 10 Pages 2193
Keywords pedestrian intention; ADAS; self-driving
Abstract Avoiding vehicle-to-pedestrian crashes is a critical requirement for nowadays advanced driver assistant systems (ADAS) and future self-driving vehicles. Accordingly, detecting pedestrians from raw sensor data has a history of more than 15 years of research, with vision playing a central role.
During the last years, deep learning has boosted the accuracy of image-based pedestrian detectors.
However, detection is just the first step towards answering the core question, namely is the vehicle going to crash with a pedestrian provided preventive actions are not taken? Therefore, knowing as soon as possible if a detected pedestrian has the intention of crossing the road ahead of the vehicle is
essential for performing safe and comfortable maneuvers that prevent a crash. However, compared to pedestrian detection, there is relatively little literature on detecting pedestrian intentions. This paper aims to contribute along this line by presenting a new vision-based approach which analyzes the
pose of a pedestrian along several frames to determine if he or she is going to enter the road or not. We present experiments showing 750 ms of anticipation for pedestrians crossing the road, which at a typical urban driving speed of 50 km/h can provide 15 additional meters (compared to a pure pedestrian detector) for vehicle automatic reactions or to warn the driver. Moreover, in contrast with state-of-the-art methods, our approach is monocular, neither requiring stereo nor optical flow information.
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Notes ADAS; 600.085; 600.076; 601.223; 600.116; 600.118 Approved no
Call Number Admin @ si @ FVL2017 Serial 2983
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Author (up) Zhong Jin; Franck Davoine
Title Orthogonal ICA Representation Of Images Type Miscellaneous
Year 2004 Publication 8th International Conference on Control, Automation, Robotics and Vision, 369–374 Abbreviated Journal
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Address Kunming (China)
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Call Number Admin @ si @ JiD2004 Serial 499
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Author (up) Zhong Jin; Franck Davoine; Zhen Lou
Title Facial expression analysis by using KPCA Type Miscellaneous
Year 2003 Publication IEEE International Conference on Robotics, Intelligent Systems and Signal Processing (IEEE RISSP 2003), pp736–741 Abbreviated Journal
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Address Changsha, Hunan, China
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Call Number Admin @ si @ JDL2003 Serial 431
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Author (up) Zhong Jin; Franck Davoine; Zhen Lou
Title An Effective EM Algorithm for PCA Mixture Model Type Miscellaneous
Year 2004 Publication Structural and Statistical Pattern Recognition, Lecture Notes in Computer Science, 3138:626–634 Abbreviated Journal
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Address Lisbon, Portugal
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Call Number Admin @ si @ JDL2004 Serial 482
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Author (up) Zhong Jin; Franck Davoine; Zhen Lou; Jing-Yu Yang
Title A novel PCA-based Bayes classifier and face analysis Type Book Chapter
Year 2006 Publication International Conference on Advances in Biometrics (ICB’06), LNCS 3832: 144–150 Abbreviated Journal
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Address Hong Kong
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Call Number Admin @ si @ JDL2006 Serial 624
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Author (up) Zhong Jin; Jing-Yu Yang; Zhen Lou
Title A luminance-conditional distribution model of skin color information Type Miscellaneous
Year 2005 Publication 2005 Beijing International Conference on Imaging: Technology and Applications for the 21th Century, 280–281 Abbreviated Journal
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Address Beijing (China)
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Call Number Admin @ si @ JYL2005 Serial 628
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Author (up) Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun
Title Face detection using template matching and skin color information Type Miscellaneous
Year 2005 Publication International Conference on Intelligent Computing, 636–645 Abbreviated Journal
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Address Hefei (China)
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Call Number Admin @ si @ JLY2005 Serial 627
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Author (up) Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun
Title Face Detection using Template Matching and Skin-color Information Type Journal
Year 2007 Publication Neurocomputing, 70(4–6): 794–800 Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ JLY2007 Serial 878
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