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With the advent of Advanced Driver Assistance Systems (ADAS), there is an increasing need to evaluate driver behavior while using such technology. In this unique study, a forward collision warning (FCW) system using connected vehicle…

Robotics · Computer Science 2021-12-28 Snehanshu Banerjee , Mansoureh Jeihani

With the steadily increasing pedestrian fatalities, pedestrian safety is a growing concern, especially in urban environments. Advanced Driver Assistance Systems (ADAS) have been developed to mitigate road user risks by predicting potential…

Human-Computer Interaction · Computer Science 2024-10-10 Hesham Alyamani , Yucheng Yang , David Noyce , Madhav Chitturi , Kassem Fawaz

There are different proposals in the literature on how to protect pedestrians using warning systems to alert drivers of their presence. They can be based on onboard perception systems or wireless communications. The evaluation of these…

Networking and Internet Architecture · Computer Science 2024-02-28 Ignacio Soto , Felipe Jimenez , Maria Calderon , Jose E. Naranjo , Jose J. Anaya

It is critical for vehicles to prevent any collisions with pedestrians. Current methods for pedestrian collision prevention focus on integrating visual pedestrian detectors with Automatic Emergency Braking (AEB) systems which can trigger…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Ross Greer , Samveed Desai , Lulua Rakla , Akshay Gopalkrishnan , Afnan Alofi , Mohan Trivedi

This paper presents the state-of-the-art on Collision Avoidance and Collision Warning (CA,CW) systems. Traffic accidents result from driver errors or situations that are unpredictable for the driver. CA,CW systems are developed for reducing…

Robotics · Computer Science 2020-12-24 Oncu Ararat , Bilin Aksun-Guvenc

Advanced Driver Assistance Systems (ADAS) alert drivers during safety-critical scenarios but often provide superfluous alerts due to a lack of consideration for drivers' knowledge or scene awareness. Modeling these aspects together in a…

Robotics · Computer Science 2024-09-10 Abhijat Biswas , John Gideon , Kimimasa Tamura , Guy Rosman

For safe navigation around pedestrians, automated vehicles (AVs) need to plan their motion by accurately predicting pedestrians trajectories over long time horizons. Current approaches to AV motion planning around crosswalks predict only…

In this paper, we provide a theoretical framework for the coordination of connected and automated vehicles (CAVs) at signal-free intersections, accounting for the unexpected presence of pedestrians. First, we introduce a general…

Systems and Control · Electrical Eng. & Systems 2025-05-13 Filippos N. Tzortzoglou , Andreas A. Malikopoulos

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

To ensure pedestrian friendly streets in the era of automated vehicles, reassessment of current policies, practices, design, rules and regulations of urban areas is of importance. This study investigates pedestrian crossing behaviour, as an…

Human-Computer Interaction · Computer Science 2021-01-07 Arash Kalatian , Bilal Farooq

For automated vehicles (AVs) to reliably navigate through crosswalks, they need to understand pedestrians crossing behaviors. Simple and reliable pedestrian behavior models aid in real-time AV control by allowing the AVs to predict future…

Minimizing traffic accidents between vehicles and pedestrians is one of the primary research goals in intelligent transportation systems. To achieve the goal, pedestrian orientation recognition and prediction of pedestrian's crossing or…

Computer Vision and Pattern Recognition · Computer Science 2022-02-23 Ue-Hwan Kim , Dongho Ka , Hwasoo Yeo , Jong-Hwan Kim

As safe and comfortable interactions with pedestrians could contribute to automated vehicles' (AVs) social acceptance and scale, increasing attention has been drawn to computational pedestrian behavior models. However, very limited studies…

A common yet potentially dangerous task is the act of crossing the street. Pedestrian accidents contribute a significant amount to the high number of annual traffic casualties, which is why it is crucial for pedestrians to use safety…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Eric Liang , Mark Stamp

Pedestrian fatalities continue to rise in the United States, driven by factors such as human distraction, increased vehicle size, and complex traffic environments. Advanced Driver Assistance Systems (ADAS) offer a promising avenue for…

Computers and Society · Computer Science 2025-09-03 Methusela Sulle , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi , Nana Kankam Gyimah

Increased interaction between and among pedestrians and vehicles in the crowded urban environments of today gives rise to a negative side-effect: a growth in traffic accidents, with pedestrians being the most vulnerable elements. Recent…

Computer Vision and Pattern Recognition · Computer Science 2022-02-07 Cristina Bustos , Daniel Rhoads , Agata Lapedriza , Javier Borge-Holthoefer , Albert Solé-Ribalta

Recent statistics reveal an alarming increase in accidents involving pedestrians (especially children) crossing the street. A common philosophy of existing pedestrian detection approaches is that this task should be undertaken by the moving…

Multiagent Systems · Computer Science 2024-05-28 Abrar Alali , Stephan Olariu , Shubham Jain

Pedestrian safety is a critical public health priority, with pedestrian fatalities accounting for 18% of all U.S. traffic deaths in 2022. The rising prevalence of distracted walking, exacerbated by mobile device use, poses significant risks…

Human-Computer Interaction · Computer Science 2025-03-24 Methusela Sulle , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi , Nana Kankam Gyimah , Jaylen Roberts , Denis Ruganuza

Although Vehicle-to-Pedestrian (V2P) communication can significantly improve pedestrian safety at a signalized intersection, this safety is hindered as pedestrians often do not carry hand-held devices (e.g., Dedicated short-range…

Computer Vision and Pattern Recognition · Computer Science 2019-07-12 Mhafuzul Islam , Mizanur Rahman , Mashrur Chowdhury , Gurcan Comert , Eshaa Deepak Sood , Amy Apon

In recent years, road safety has attracted significant attention from researchers and practitioners in the intelligent transport systems domain. As one of the most common and vulnerable groups of road users, pedestrians cause great concerns…

Robotics · Computer Science 2021-11-09 Zheyu Zhang , Boyang Wang , Chao Lu , Jinghang Li , Cheng Gong , Jianwei Gong
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