Work Zone Detection For Autonomous Vehicles

Shi, Weijing; Rajkumar, Ragunathan

doi:10.1109/itsc48978.2021.9565073

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…This section describes how we followed the pipeline designed by Shi and Rajkumar ( 21 ) to test the performance of our method for work zone boundary localization. We placed many work zones of different layouts in 118 Street NW, Edmonton and recorded the GPS coordinates of work zone objects by the GNSS sensor, Google Maps, and our localization method.…”

Section: Alternative Localization Methodsmentioning

confidence: 99%

“…There were eight work zones in total; six of them completely showed up in the field of view of the traffic camera and the remaining two partly showed up. We then used the equations developed by Shi and Rajkumar ( 21 ) to calculate results.…”

Section: Alternative Localization Methodsmentioning

confidence: 99%

“…However, such a strategy is reliant on lane marking regulations and is unable to deal with regular work zones that lack temporary lane markers. Shi and Rajkumar ( 21 ) develop work zone detection, which detects and locates the boundaries of a work zone. They give many baseline implementations utilizing various sensor combinations, such as camera and LiDAR.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Vision-Based Work Zone Safety Alert System in a Connected Vehicle Environment

Cui

Hou

Zhang

et al. 2023

Transportation Research Record: Journal of the Transportation R

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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.

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Section: Alternative Localization Methodsmentioning

confidence: 99%

Section: Alternative Localization Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Vision-Based Work Zone Safety Alert System in a Connected Vehicle Environment

Cui

Hou

Zhang

et al. 2023

Transportation Research Record: Journal of the Transportation R

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CoSim: A Co-Simulation Framework for Testing Autonomous Vehicles in Adverse Operating Conditions

Sural,

Su,

Sahu

et al. 2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

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Advancing Highway Work Zone Safety: A Comprehensive Review of Sensor Technologies for Intrusion and Proximity Hazards

Demeke,

Younesi Heravi,

Dola

et al. 2024

Transportation Research Record: Journal of the Transportation R

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Highway work zones are critical areas where accidents frequently occur, often because of the proximity of workers to heavy machinery and ongoing traffic. With technological advancements in sensor technologies and the Internet of Things, promising solutions are emerging to address these safety concerns. This paper provides a systematic review of existing studies on the application of sensor technologies in enhancing highway work zone safety, particularly in preventing intrusion and proximity hazards. Following the PRISMA (preferred reporting items for systematic reviews and meta-analyses) protocol, the review examines a broad spectrum of publications on various sensor technologies, including GPS (global positioning system), radar, laser, infrared, radio-frequency identification, Bluetooth, ultrasonic, and infrared sensors, detailing their application in reducing intrusion and proximity incidents. The review also assesses these technologies in relation to their accuracy, range, power consumption, cost, and user-friendliness, with a specific emphasis on their suitability for highway work zones. The findings highlighted the potential of sensor technologies to significantly enhance work zone safety. As there are a wide range of sensor technologies to choose from, the review also revealed that the selection of sensors for a particular application needs careful consideration of pertinent factors. Finally, although sensor technologies offer promising solutions for enhancing highway work zone safety, their effective implementation requires comprehensive consideration of various factors beyond their technological capabilities, including developing integrated, cost-effective, user-friendly, and secure systems, and creating regulatory frameworks to support the rapid development of these technologies.

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Work Zone Detection For Autonomous Vehicles

Cited by 3 publications

References 13 publications

Vision-Based Work Zone Safety Alert System in a Connected Vehicle Environment

Vision-Based Work Zone Safety Alert System in a Connected Vehicle Environment

CoSim: A Co-Simulation Framework for Testing Autonomous Vehicles in Adverse Operating Conditions

Advancing Highway Work Zone Safety: A Comprehensive Review of Sensor Technologies for Intrusion and Proximity Hazards

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