Drive Video Analysis for the Detection of Traffic Near-Miss Incidents

7 Apr 2018Hirokatsu KataokaTeppei SuzukiShoko OikawaYasuhiro MatsuiYutaka Satoh

Because of their recent introduction, self-driving cars and advanced driver assistance system (ADAS) equipped vehicles have had little opportunity to learn, the dangerous traffic (including near-miss incident) scenarios that provide normal drivers with strong motivation to drive safely. Accordingly, as a means of providing learning depth, this paper presents a novel traffic database that contains information on a large number of traffic near-miss incidents that were obtained by mounting driving recorders in more than 100 taxis over the course of a decade... (read more)

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