DESIGN OF EMERGENCY BRAKING ALGORITHM FOR PEDESTRIAN PROTECTION BASED ON MULTI-SENSOR FUSION

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.
Publisher
KOREAN SOC AUTOMOTIVE ENGINEERS-KSAE
Issue Date
2017-12
Language
English
Keywords

COLLISION-AVOIDANCE; ACTIVE SAFETY; SYSTEMS; CHALLENGES; ISSUES

Citation

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, v.18, no.6, pp.1067 - 1076

ISSN
1229-9138
DOI
10.1007/s12239-017-0104-7
URI
http://hdl.handle.net/10203/225796
Appears in Collection
ME-Journal Papers(저널논문)
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