Focusing on Discrimination Between Road Conditions and Weather in Driving Video Analysis

被引：0

作者：

Zhang, Hanwei ^{[1
]}

Kawasaki, Hiroshi ^{[2
]}

Mine, Tsunenori ^{[2
]}

Ono, Shintaro ^{[3
]}

机构：

[1] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Fukuoka, Japan

[2] Kyushu Univ, Fac Informat Sci & Elect Engn, Fukuoka, Japan

[3] Univ Tokyo, Inst Ind Sci, Tokyo, Japan

来源：

FRONTIERS OF COMPUTER VISION, IW-FCV 2021 | 2021年 / 1405卷

关键词：

Driving video; Road condition; Weather classification; Deep learning;

D O I：

10.1007/978-3-030-81638-4_6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We study an often ignored problem, the discrimination between road conditions and weather in driving videos, which may possibly lead to imperceptible errors on driving data analysis. We explore BDD100K, a common driving video database, and Kyushu Driving Data, a huge driving database created by ourselves. In our experiments, we use road condition labels and weather labels respectively to train several deep models on driving image sequences and demonstrate the difference between the two varieties of labels. The results indicate a significant difference between the two varieties, which leads to different performance of deep models.

引用

页码：70 / 80

页数：11

共 50 条

[21] Traffic Video Surveillance in Different Weather Conditions
Vujovic, Igor
Jurcevic, Marjan
Kuzmanic, Ivica
TRANSACTIONS ON MARITIME SCIENCE-TOMS, 2014, 3 (01): : 32 - 41
[22] Does road familiarity change eye fixations? A comparison between watching a video and real driving
Martens, Marieke H.
Fox, Micah
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2007, 10 (01) : 33 - 47
[23] Discrimination of the road condition toward understanding of vehicle driving environments
Yamada, M
Ueda, K
Horiba, I
Sugie, N
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2001, 2 (01) : 26 - 31
[24] Statistical analysis on vehicle's driving cycles under different road conditions
School of Energy and Power Engineering, WUT, Wuhan 430063, China
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban), 2006, 5 (781-784):
[25] Automated driving recognition technologies for adverse weather conditions
Yoneda, Keisuke
Suganuma, Naoki
Yanase, Ryo
Aldibaja, Mohammad
IATSS RESEARCH, 2019, 43 (04) : 253 - 262
[26] Effects of weather conditions, light conditions, and road lighting on vehicle speed
Jagerbrand, Annika K.
Sjobergh, Jonas
SPRINGERPLUS, 2016, 5
[27] Naturalistic Study of Winter Driving Practices by Older Men and Women: Examination of Weather, Road Conditions, Trip Purposes, and Comfort
Myers, Anita M.
Trang, Aileen
Crizzle, Alexander M.
CANADIAN JOURNAL ON AGING-REVUE CANADIENNE DU VIEILLISSEMENT, 2011, 30 (04): : 577 - 589
[28] Analyzing drivers' behavioral responses to hotspot warning: a driving simulation study in varied weather conditions for enhanced road safety
Yazdani, Shiva
Yazdani, Mirbahdor
Razzaghi, Alireza
Rezaei, Mahdi
ARCHIVES OF TRAUMA RESEARCH, 2024, 13 (02) : 76 - 86
[29] Urban Road Crashes and Weather Conditions: Untangling the Effects
Lobo, Antonio
Ferreira, Sara
Iglesias, Isabel
Couto, Antonio
SUSTAINABILITY, 2019, 11 (11)
[30] INTELLIGENT ROAD LIGHTING CONTROL IN VARYING WEATHER CONDITIONS
Ekrias, Aleksanteri
Guo, Liping
Eloholma, Marjukka
Halonen, Liisa
LIGHT & ENGINEERING, 2008, 16 (01): : 72 - 78

← 1 2 3 4 5 →