DocumentCode :
154721
Title :
Mannequin development for pedestrian pre-Collision System evaluation
Author :
Qiang Yi ; Chien, Stanley ; Brink, Jason ; Yaobin Chen ; Linxi Li ; Chi-Chih Chen ; Good, David ; Sherony, Rini
Author_Institution :
Transp. Active Safety Inst., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA
fYear :
2014
fDate :
8-11 Oct. 2014
Firstpage :
1626
Lastpage :
1631
Abstract :
Pedestrian PCS (pre-Collision System), as a novel active pedestrian safety equipment to reduce pedestrian fatalities, was introduced by several vehicle manufactures in recent years. How to evaluate this system is still in study. This paper describes the development of a set of mannequins for pedestrian PCS evaluation. These mannequins represent relevant physical properties of human beings that are used by most common PCS sensors in vehicles for pedestrian detection. Three different mannequin sizes were generated to represent child, fit adult and obese adult of U.S. pedestrians. These sizes were generated using a K-means clustering method with crash weighted NHANES (National Health and Nutrition Examination Survey) data. To ensure that the mannequin provides the same radar cross section (RCS) as a pedestrian in the view of a 77GHz automotive radar, a special mannequin skin was developed. To make the mannequin move like a real human in the view of PCS cameras, mannequins were configured with 6 degrees of freedom articulation, 2 for shoulders, 2 for hips, and 2 for knees. The mannequin limbs are detachable at crash in order to protect the mannequin motion driving system. To ensure that the mannequins move like a real human, a gait planning method was adopted to generate different walking speed based on the gaiting research in medical fields. Other mannequin features are to support various test setups, low weight for test vehicle safety, and crash forgivingness. The mannequins were used in hundreds of PCS test runs at different crash angles and vehicle speeds.
Keywords :
gait analysis; image sensors; impact testing; pattern clustering; pedestrians; road accidents; road safety; road vehicle radar; traffic engineering computing; K-means clustering method; PCS cameras; PCS sensors; US pedestrians; active pedestrian safety equipment; automotive radar; child; crash angles; crash forgivingness; crash weighted NHANES data; fit adult; gait planning method; gaiting research; mannequin development; mannequin limbs; mannequin motion driving system; medical fields; national health and nutrition examination survey; obese adult; pedestrian detection; pedestrian fatalities; pedestrian precollision system evaluation; radar cross section; test setups; test vehicle safety; vehicle manufactures; vehicle speeds; walking speed; Legged locomotion; Radar cross-sections; Safety; Sensors; Skin; Vehicles; K-means; Mannequin; PCAM (Pedestrian crash avoidance/mitigation); PCS (Pre-Collision System); Pedestrian; RCS (Radar Cross Section);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ITSC.2014.6957926
Filename :
6957926
Link To Document :
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