Sensor Fusion for Traffic Monitoring Using Camera, Radar, and ROS

Garvin, Joe; McVicker, Mason; Mshar, Alec; Williamson, J.M.; Alkhelaifi, Yahia; Anderson, Wolfe; Jeong, Nathan

doi:10.1109/icicict54557.2022.9917764

Cited by 3 publications

(1 citation statement)

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“…AVs offer an exceptional opportunity to reduce road injuries. However, AVs are not a magical universal solution, and the arsenal should include a wide range of policies and technologies combined with Intelligent roads [12][13][14][15][16] and Vehicle-to-Vehicle [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Deployments of Autonomous Vehicles and Intelligent Roads on Road Safety in China: A Country-Level Modeling Study

Tan

Zhao

Song

et al. 2023

IJERPH

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Approximately 1.35 million people lose their lives due to road traffic collisions worldwide per year. However, the variation of road safety depending on the deployment of Autonomous Vehicles (AV), Intelligent Roads (IR), and Vehicle-to-Vehicle technology (V2V) is largely unknown. In this analysis, a bottom-up analytical framework was developed to evaluate the safety benefits of avoiding road injuries and reducing crash-related economic costs from the deployment of AVs, IRs, and V2Vs in China in 26 deployment scenarios from 2020 to 2050. The results indicate that compared with only deploying AVs, increasing the availability of IRs and V2V while reducing the deployment of fully AVs can achieve larger safety benefits in China. Increasing the deployment of V2V while reducing the deployment of IRs can sometimes achieve similar safety benefits. The deployment of AVs, IRs, and V2V plays different roles in achieving safety benefits. The large-scale deployment of AVs is the foundation of reducing traffic collisions; the construction of IRs would determine the upper limit of reducing traffic collisions, and the readiness of connected vehicles would influence the pace of reducing traffic collisions, which should be designed in a coordinated manner. Only six synergetic scenarios with full equipment of V2V can meet the SDG 3.6 target for reducing casualties by 50% in 2030 compared to 2020. In general, our results highlight the importance and the potential of the deployment of AVs, IRs, and V2V to reduce road fatalities and injuries. To achieve greater and faster safety benefits, the government should prioritize to the deployment of IRs and V2V. The framework developed in this study can provide practical support for decision-makers to design strategies and policies on the deployment of AVs and IRs, which can also be applied in other countries.

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Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Deployments of Autonomous Vehicles and Intelligent Roads on Road Safety in China: A Country-Level Modeling Study

Tan

Zhao

Song

et al. 2023

IJERPH

View full text Add to dashboard Cite

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Bidirectional Multilane Vehicle Counting Approach Based on Multiscale of Multitraffic States Using MIMO Radar

Tan,

Yang,

Chu

2024

IEEE Sensors J.

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Recent Advances in Bio-Inspired Vision Sensor: A Review

Zhong,

Yu,

2024

J CIRCUIT SYST COMP

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Event-based cameras, also known as biologically inspired visual sensors, are capable of capturing real-time scene changes efficiently. Unlike traditional frame-based cameras, event cameras solely report triggered pixel-level brightness changes which are referred to as events. Event-based cameras show many advantages such as high temporal resolution, low latency, and high dynamic range, making them very attractive in robotics and computer vision, especially in challenging scenarios that are too demanding for traditional cameras. In this paper, we provide a comprehensive overview of the emerging field of event-based vision, focusing on the operation principle, sampling mechanisms, and algorithms that take advantage of their superior features. We also delve into the various tasks for which event cameras are utilized, such as object tracking, optical flow estimation, 3D reconstruction, SLAM, image reconstruction, and recognition. Additionally, we highlight the challenges and future opportunities for event cameras, seeking a more efficient way for machines to perceive and interact with the world.

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Sensor Fusion for Traffic Monitoring Using Camera, Radar, and ROS

Cited by 3 publications

References 0 publications

Quantifying the Impact of Deployments of Autonomous Vehicles and Intelligent Roads on Road Safety in China: A Country-Level Modeling Study

Quantifying the Impact of Deployments of Autonomous Vehicles and Intelligent Roads on Road Safety in China: A Country-Level Modeling Study

Bidirectional Multilane Vehicle Counting Approach Based on Multiscale of Multitraffic States Using MIMO Radar

Recent Advances in Bio-Inspired Vision Sensor: A Review

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