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Anomaly detection for automotive visual signal transition estimation
We developed an end-to-end pipeline for brake light transition detection based on cognitive
theories of anomaly-detection and model based systems engineering principles. Inspired by …
theories of anomaly-detection and model based systems engineering principles. Inspired by …
Vision-based method for forward vehicle brake lights recognition
W Liu, H Bao, J Zhang, C Xu - International Journal of Signal Processing …, 2015 - earticle.net
This paper presents a recognition algorithm combining the vehicle detection and the color
difference of RGB color space to recognize the brake-lights state of moving vehicles in order …
difference of RGB color space to recognize the brake-lights state of moving vehicles in order …
Robust Vision-Based Daytime Vehicle Brake Light Detection Using Two-Stage Deep Learning Model
DY Chen, TY Lin, GR Chen - … of the 3rd International Conference on Big …, 2019 - dl.acm.org
Today's ADAS functions can be divided into active control, early warning and other auxiliary
three major categories, including Adaptive Cruise Control (ACC), Autonomous Emergency …
three major categories, including Adaptive Cruise Control (ACC), Autonomous Emergency …
야간차량검출기의 후미등분류기를 위한 색특징 추출
김가현， 임준택， 정호기 - 한국자동차공학회 추계학술대회 및 전시회, 2012 - dbpia.co.kr
Light blob detection is one of the most important techniques for a night time vehicle detection
system. Light blob detection results could be used for intelligent headlight control (IHC) and …
system. Light blob detection results could be used for intelligent headlight control (IHC) and …