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Micromobility is a growing mode of transportation, raising new challenges for traffic safety and planning due to increased interactions in areas where vulnerable road users (VRUs) share the infrastructure with micromobility, including…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Alexander Rasch , Rahul Rajendra Pai

Ensuring the safety of vulnerable road users (VRUs), such as pedestrians and cyclists, remains a critical global challenge, as conventional infrastructure-based measures often prove inadequate in dynamic urban environments. Recent advances…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Shucheng Zhang , Yan Shi , Bingzhang Wang , Yuang Zhang , Muhammad Monjurul Karim , Kehua Chen , Chenxi Liu , Mehrdad Nasri , Yinhai Wang

Extensive research has already been conducted in the autonomous driving field to help vehicles navigate safely and efficiently. At the same time, plenty of current research on vulnerable road user (VRU) safety is performed which largely…

Robotics · Computer Science 2025-09-03 Haochong Chen , Xincheng Cao , Bilin Aksun-Guvenc , Levent Guvenc

In near future, vulnerable road users (VRUs) such as cyclists and pedestrians will be equipped with smart devices and wearables which are capable to communicate with intelligent vehicles and other traffic participants. Road users are then…

Computer Vision and Pattern Recognition · Computer Science 2018-08-15 Maarten Bieshaar , Malte Depping , Jan Schneegans , Bernhard Sick

Traffic incidents involving vulnerable road users (VRUs) constitute a significant proportion of global road accidents. Advances in traffic communication ecosystems, coupled with sophisticated signal processing and machine learning…

Anticipating the intentions of vulnerable road users (VRUs) such as pedestrians and cyclists is critical for performing safe and comfortable driving maneuvers. This is the case for human driving and, thus, should be taken into account by…

Computer Vision and Pattern Recognition · Computer Science 2019-10-10 Zhijie Fang , Antonio M. López

Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition of critical situations is one of the manifold opportunities provided by the current development in the field of intelligent vehicles. As especially…

Computer Vision and Pattern Recognition · Computer Science 2018-03-12 Michael Goldhammer , Sebastian Köhler , Stefan Zernetsch , Konrad Doll , Bernhard Sick , Klaus Dietmayer

With the acceleration of urbanization and the growth of transportation demands, the safety of vulnerable road users (VRUs, such as pedestrians and cyclists) in mixed traffic flows has become increasingly prominent, necessitating…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Zhangcun Yan , Jianqiang Li , Peng Hang , Jian Sun

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

Correctly identifying vulnerable road users (VRUs), e.g. cyclists and pedestrians, remains one of the most challenging environment perception tasks for autonomous vehicles (AVs). This work surveys the current state-of-the-art in VRU…

Computer Vision and Pattern Recognition · Computer Science 2019-02-12 Patrick Mannion

The vulnerability of cyclists, exacerbated by the rising popularity of faster e-bikes, motivates adapting automotive perception technologies for bicycle safety. We use our multi-sensor 'SenseBike' research platform to develop and evaluate a…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Denniz Goren , Holger Caesar

Advanced perception and path planning are at the core for any self-driving vehicle. Autonomous vehicles need to understand the scene and intentions of other road users for safe motion planning. For urban use cases it is very important to…

Computer Vision and Pattern Recognition · Computer Science 2020-07-13 Adithya Ranga , Filippo Giruzzi , Jagdish Bhanushali , Emilie Wirbel , Patrick Pérez , Tuan-Hung Vu , Xavier Perrotton

Most existing traffic video datasets including Waymo are structured, focusing predominantly on Western traffic, which hinders global applicability. Specifically, most Asian scenarios are far more complex, involving numerous objects with…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Xijun Wang , Pedro Sandoval-Segura , Chengyuan Zhang , Junyun Huang , Tianrui Guan , Ruiqi Xian , Fuxiao Liu , Rohan Chandra , Boqing Gong , Dinesh Manocha

This paper introduces RobotCycle, a novel ongoing project that leverages Autonomous Vehicle (AV) research to investigate how road infrastructure influences cyclist behaviour and safety during real-world journeys. The project's requirements…

Road safety is the main motivation for Cooperative Intelligent Transport Systems (C-ITS) in general, and vehicular communications (V2X) technology in particular. The V2X-based Vulnerable Road User (VRU) protection is an approach that relies…

Networking and Internet Architecture · Computer Science 2023-12-22 Jorge Martín-Pérez , Oscar Amador , Markus Rydeberg , Linnéa Olsson , Alexey Vinel

Intersections where vehicles are permitted to turn and interact with vulnerable road users (VRUs) like pedestrians and cyclists are among some of the most challenging locations for automated and accurate recognition of road users' behavior.…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Hao Cheng , Li Feng , Hailong Liu , Takatsugu Hirayama , Hiroshi Murase , Monika Sester

Understanding and predicting human behavior in-thewild, particularly at urban intersections, remains crucial for enhancing interaction safety between road users. Among the most critical behaviors are crossing intentions of Vulnerable Road…

Computer Vision and Pattern Recognition · Computer Science 2025-05-16 Ahmed S. Abdelrahman , Mohamed Abdel-Aty , Quoc Dai Tran

Shared space reduces segregation between vehicles and pedestrians and encourages them to share roads without imposed traffic rules. The behaviour of road users (RUs) is then controlled by social norms, and interactions are more versatile…

Human-Computer Interaction · Computer Science 2024-03-11 Yiyuan Wang , Luke Hespanhol , Stewart Worrall , Martin Tomitsch

Testing and evaluating automated driving systems (ADS) in interactions with vulnerable road users (VRUs), such as cyclists, are essential for improving the safety of VRUs, but often lack realism. This paper presents and validates a coupled…

Robotics · Computer Science 2025-07-30 Michael Kaiser , Clemens Groß , Lisa Marie Otto , Steffen Müller

Aiming to reduce pollutant emissions, bicycles are regaining popularity specially in urban areas. However, the number of cyclists' fatalities is not showing the same decreasing trend as the other traffic groups. Hence, monitoring cyclists'…

Computer Vision and Pattern Recognition · Computer Science 2017-04-26 Miguel Costa , Beatriz Quintino Ferreira , Manuel Marques
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