One-Stage Brake Light Status Detection Based on YOLOv8

制动器 可解释性 计算机科学 推论 高级驾驶员辅助系统 自动化 任务(项目管理) 人工智能 机器学习 汽车工程 实时计算 工程类 机械工程 系统工程
作者
Geesung Oh,Sejoon Lim
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:23 (17): 7436-7436 被引量:3
标识
DOI:10.3390/s23177436
摘要

Despite the advancement of advanced driver assistance systems (ADAS) and autonomous driving systems, surpassing the threshold of level 3 of driving automation remains a challenging task. Level 3 of driving automation requires assuming full responsibility for the vehicle’s actions, necessitating the acquisition of safer and more interpretable cues. To approach level 3, we propose a novel method for detecting driving vehicles and their brake light status, which is a crucial visual cue relied upon by human drivers. Our proposal consists of two main components. First, we introduce a fast and accurate one-stage brake light status detection network based on YOLOv8. Through transfer learning using a custom dataset, we enable YOLOv8 not only to detect the driving vehicle, but also to determine its brake light status. Furthermore, we present the publicly available custom dataset, which includes over 11,000 forward images along with manual annotations. We evaluate the performance of our proposed method in terms of detection accuracy and inference time on an edge device. The experimental results demonstrate high detection performance with an mAP50 (mean average precision at IoU threshold of 0.50) ranging from 0.766 to 0.793 on the test dataset, along with a short inference time of 133.30 ms on the Jetson Nano device. In conclusion, our proposed method achieves high accuracy and fast inference time in detecting brake light status. This contribution effectively improves safety, interpretability, and comfortability by providing valuable input information for ADAS and autonomous driving technologies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
干雅柏完成签到,获得积分10
1秒前
八九完成签到,获得积分10
2秒前
3秒前
干雅柏发布了新的文献求助10
4秒前
Stardust发布了新的文献求助10
4秒前
黑白和完成签到 ,获得积分10
5秒前
yang完成签到,获得积分10
6秒前
金蛋蛋发布了新的文献求助10
7秒前
量子星尘发布了新的文献求助10
9秒前
13秒前
18秒前
淡定的电源完成签到,获得积分10
21秒前
21秒前
lm发布了新的文献求助10
24秒前
26秒前
善学以致用应助孤独问旋采纳,获得10
26秒前
孙燕应助霸气安筠采纳,获得30
27秒前
李健应助科研通管家采纳,获得10
27秒前
汉堡包应助科研通管家采纳,获得10
27秒前
SYLH应助科研通管家采纳,获得20
27秒前
SYLH应助科研通管家采纳,获得10
27秒前
上官若男应助科研通管家采纳,获得10
27秒前
烟花应助科研通管家采纳,获得10
27秒前
丘比特应助科研通管家采纳,获得10
27秒前
SYLH应助科研通管家采纳,获得10
28秒前
CAOHOU应助科研通管家采纳,获得10
28秒前
SYLH应助科研通管家采纳,获得10
28秒前
CAOHOU应助科研通管家采纳,获得10
28秒前
SYLH应助科研通管家采纳,获得10
28秒前
科研通AI2S应助科研通管家采纳,获得10
28秒前
JamesPei应助科研通管家采纳,获得10
28秒前
ding应助科研通管家采纳,获得10
28秒前
28秒前
SYLH应助科研通管家采纳,获得10
28秒前
CAOHOU应助科研通管家采纳,获得10
28秒前
SYLH应助科研通管家采纳,获得20
28秒前
28秒前
30秒前
nbing完成签到,获得积分10
31秒前
十月的天空完成签到,获得积分10
32秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989378
求助须知:如何正确求助?哪些是违规求助? 3531442
关于积分的说明 11254002
捐赠科研通 3270126
什么是DOI,文献DOI怎么找? 1804887
邀请新用户注册赠送积分活动 882087
科研通“疑难数据库(出版商)”最低求助积分说明 809173