TY  - JOUR
PY  - 2023//
TI  - Vision-based work zone safety alert system in a connected vehicle environment
JO  - Transportation research record
A1  - Cui, Haibo
A1  - Hou, Kaizhe
A1  - Zhang, Jiarui
A1  - Yan, Siqi
A1  - Seraj, Mudasser
A1  - Wang, Yingke
A1  - Tavakoli, Mahdi
A1  - Qiu, Tony
SP  - 499
EP  - 520
VL  - 2677
IS  - 11
N2  - Work zones, being a critical component of roadway transportation systems, can benefit greatly from computer vision-enabled roadway infrastructures, specifically in connected vehicle (CV) environments. Connected infrastructures, such as roadside units (RSU) and on-board units (OBU), can greatly improve the environmental awareness and safety of CVs driving through a work zone. The contribution of this paper lies in developing a vision-based approach to generate work zone safety messages in real time, utilizing video streams from roadside monocular traffic cameras that can be used by CV work zone safety apps on mobile devices to reliably navigate through a work zone. A monocular traffic camera calibration method is proposed to establish the accurate mapping between the image plane and Global Position System (GPS) space. Real test scenarios show that our algorithm can precisely and effectively locate work zone boundaries from a monocular traffic camera in real time. We demonstrate the capabilities and features of our system through real-world experiments where the driver cannot see the work zone. End-to-end latency analysis reveals that the vision-based work zone safety warning system satisfies the active safety latency requirements. This vision-based work zone safety alert system ensures the safety of both the worker and the driver in a CV environment.<p />  <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.1177/03611981231165997
ID  - ref1
ER  -