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Visualizing the trajectory of multiple runners with videos collected at different points in a race could be useful for sports performance analysis. The videos and the trajectories can also aid in athlete health monitoring. While the runners…

Computer Vision and Pattern Recognition · Computer Science 2019-09-09 Yeshwanth Napolean , Priadi Teguh Wibowo , Jan van Gemert

Road traffic accidents remain a significant global concern, with human error, particularly distracted and impaired driving, among the leading causes. This study introduces a novel driver behaviour classification system that uses external…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Ian Nell , Shane Gilroy

Road conditions affect both machine and human powered modes of transportation. In the case of human powered transportation, poor road conditions increase the work for the individual to travel. Previous estimates for these parameters have…

Machine Learning · Computer Science 2018-09-27 Nitish Nag , Vaibhav Pandey , Aishwarya Manjunath , Avinash Vaka , Ramesh Jain

Vulnerable road users (VRUs, i.e. cyclists and pedestrians) will play an important role in future traffic. To avoid accidents and achieve a highly efficient traffic flow, it is important to detect VRUs and to predict their intentions. In…

Artificial Intelligence · Computer Science 2018-09-12 Maarten Bieshaar , Günther Reitberger , Stefan Zernetsch , Bernhard Sick , Erich Fuchs , Konrad Doll

Environment perception is the task for intelligent vehicles on which all subsequent steps rely. A key part of perception is to safely detect other road users such as vehicles, pedestrians, and cyclists. With modern deep learning techniques…

Computer Vision and Pattern Recognition · Computer Science 2020-07-13 Florian Kraus , Klaus Dietmayer

Walking has always been a primary mode of transportation and is recognized as an essential activity for maintaining good health. Despite the need for safe walking conditions in urban environments, sidewalks are frequently obstructed by…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Marios Thoma , Zenonas Theodosiou , Harris Partaourides , Vassilis Vassiliades , Loizos Michael , Andreas Lanitis

Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activities. As an alternative to questionnaires, some studies have…

Human-Computer Interaction · Computer Science 2024-03-04 Aurel Ruben Mader , Lakmal Meegahapola , Daniel Gatica-Perez

Safety perception measurement has been a subject of interest in many cities of the world. This is due to its social relevance, and to its effect on some local economic activities. Even though people safety perception is a subjective topic,…

Computer Vision and Pattern Recognition · Computer Science 2019-02-20 Sergio Acosta , Jorge E. Camargo

The progressive automation of transport promises to enhance safety and sustainability through shared mobility. Like other vehicles and road users, and even more so for such a new technology, it requires monitoring to understand how it…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Mohamed Aziz Younes , Nicolas Saunier , Guillaume-Alexandre Bilodeau

The rapid urbanization and increasing traffic have serious social, economic, and environmental impact on metropolitan areas worldwide. It is of a great importance to understand the complex interplay of road networks and traffic conditions.…

Other Computer Science · Computer Science 2018-10-31 Weizi Li , Meilei Jiang , Yaoyu Chen , Ming C. Lin

Cycling is an outdoor activity with massive health benefits, and an effective solution towards sustainable urban transport. Despite these benefits and the recent rising popularity of cycling, most countries still have a negligible uptake.…

Computers and Society · Computer Science 2023-05-03 Alice Battiston , Ludovico Napoli , Paolo Bajardi , André Panisson , Alan Perotti , Michael Szell , Rossano Schifanella

Traffic accidents are a threat to human lives, particularly pedestrians causing premature deaths. Therefore, it is necessary to devise systems to prevent accidents in advance and respond proactively, using potential risky situations as one…

Computer Vision and Pattern Recognition · Computer Science 2021-07-28 Byeongjoon Noh , Hansaem Park , Hwasoo Yeo

Recently, e-scooter-involved crashes have increased significantly but little information is available about the behaviors of on-road e-scooter riders. Most existing e-scooter crash research was based on retrospectively descriptive media…

Systems and Control · Electrical Eng. & Systems 2023-01-18 Avinash Prabu , Zhengming Zhang , Renran Tian , Stanley Chien , Lingxi Li , Yaobin Chen , Rini Sherony

Collisions between cyclists and pedestrians at urban intersections remain a persistent source of injuries, yet few systems attempt real-time warnings to unequipped road users using commodity hardware. We present a prototype collision…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Mehmet Kerem Turkcan

Cyclists often encounter safety-critical situations in urban traffic, highlighting the need for assistive systems that support safe and informed decision-making. Recently, vision-language models (VLMs) have demonstrated strong performance…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Krishna Kanth Nakka , Vedasri Nakka

Road crashes remain a leading cause of preventable fatalities. Existing prediction models predominantly produce binary outcomes, which offer limited actionable insights for real-time driver feedback. These approaches often lack continuous…

Machine Learning · Computer Science 2026-04-01 Joyjit Roy , Samaresh Kumar Singh , Sushanta Das

A key aspect of driving a road vehicle is to interact with other road users, assess their intentions and make risk-aware tactical decisions. An intuitive approach to enabling an intelligent automated driving system would be incorporating…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Videsh Suman , Phu Pham , Aniket Bera

Pedestrians' safety is a crucial factor in assessing autonomous driving scenarios. However, pedestrian safety evaluation is rarely considered by existing autonomous driving simulation platforms. This paper proposes a pedestrian safety…

Artificial Intelligence · Computer Science 2024-07-31 Lin Ma , Longrui Chen , Yan Zhang , Mengdi Chu , Wenjie Jiang , Jiahao Shen , Chuxuan Li , Yifeng Shi , Nairui Luo , Jirui Yuan , Guyue Zhou , Jiangtao Gong

Understanding how built environments shape human experience is central to designing sustainable cities. Cycling provides a critical case: it delivers health and environmental benefits, yet its uptake depends strongly on the experience of…

Computers and Society · Computer Science 2025-09-22 Haining Ding , Chenxi Wang , Michal Gath-Morad

Road accidents are quite common in almost every part of the world, and, in majority, fatal accidents are attributed to over speeding of vehicles. The tendency to over speeding is usually tried to be controlled using check points at various…

Machine Learning · Computer Science 2024-08-09 Subhasis Dasgupta , Arshi Naaz , Jayeeta Choudhury , Nancy Lahiri
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