Design of emergency braking algorithm for pedestrian protection based on multi-sensor fusion
| Autor: | Dong-Soo Kwon, Hyuck-kee Lee, Seong-geun Shin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
0209 industrial biotechnology Engineering business.industry 05 social sciences Automotive industry 02 engineering and technology Pedestrian Sensor fusion Multi sensor 020901 industrial engineering & automation Automatic braking 0502 economics and business Automotive Engineering media_common.cataloged_instance European union business Protocol (object-oriented programming) Algorithm Collision avoidance Simulation media_common |
| Zdroj: | International Journal of Automotive Technology. 18:1067-1076 |
| ISSN: | 1976-3832 1229-9138 |
| DOI: | 10.1007/s12239-017-0104-7 |
| Popis: | Globally, safety has become an increasingly important issue in the automotive industry. In an attempt to reduce traffic fatalities, UNECE launched a new EU Road Safety Program which aims to decrease the number of road deaths by half by 2020. AEB (Autonomous Emergency Braking) is a very effective active safety system intended to reduce fatalities. This study involves the design of a multi-sensor data fusion strategy and decision-making algorithm for AEB pedestrian. Possible collision avoidance scenarios according to the EuroNCAP protocol are analyzed and a robust pedestrian tracking strategy is proposed. The performance of the AEB system is enhanced by using a braking model to predict the collision avoidance time and by designing the system activation zone according to the relative speed and possible distance required to stop for pedestrians. The AEB activation threshold requires careful consideration. The test results confirm the advantages of the proposed algorithm, the performance of which is described in this paper. |
| Databáze: | OpenAIRE |
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