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Sota Aoki, Yohei Fujinami, Pongsathorn Raksincharoensak and Roman Henze
This paper describes the development of an Advanced Driver Assistance System (ADAS) which will allow drivers to avoid collisions with an oncoming vehicle from an occluded area when turning right at intersections in left-hand traffic. Connected vehicles, ...
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Kefei Zhu, Xu Yang, Yanbo Zhang, Mengkun Liang and Jun Wu
With the rising popularity of the Advanced Driver Assistance System (ADAS), there is an increasing demand for more human-like car-following performance. In this paper, we consider the role of heterogeneity in car-following behavior within car-following m...
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Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, Rutvij H. Jhaveri and Francesco Benedetto
The main purpose of a detection system is to ascertain the state of an individual?s eyes, whether they are open and alert or closed, and then alert them to their level of fatigue. As a result of this, they will refrain from approaching an accident site. ...
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Peilun Ju and Jiacheng Song
To maintain a safe distance between the autonomous vehicle and the leader, ensure that the vehicle runs at its expected speed as far as possible, and achieve various control requirements such as speed, distance and collision avoidance, a model-free presc...
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Yufeng Li, Mengxiao Liu, Chenhong Cao and Jiangtao Li
Advanced Driver Assistance Systems (ADASs) are crucial components of intelligent vehicles, equipped with a vast code base. To enhance the security of ADASs, it is essential to mine their vulnerabilities and corresponding exploitation methods. However, mi...
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Anil Kumar Chhotu and Sanjeev Kumar Suman
Highway railway level crossings, also widely recognized as HRLCs, present a significant threat to the safety of everyone who uses a roadway, including pedestrians who are attempting to cross an HRLC. More studies with new, proposed solutions are needed d...
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Mohammed Razzok, Abdelmajid Badri, Ilham El Mourabit, Yassine Ruichek and Aïcha Sahel
Pedestrian tracking and detection have become critical aspects of advanced driver assistance systems (ADASs), due to their academic and commercial potential. Their objective is to locate various pedestrians in videos and assign them unique identities. Th...
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Fumin Zou, Chenxi Xia, Feng Guo, Xinjian Cai, Qiqin Cai, Guanghao Luo and Ting Ye
Due to the challenge of limited line of sight in the perception system of intelligent driving vehicles (cameras, radar, body sensors, etc.), which can only perceive threats within a limited range, potential threats outside the line of sight cannot be fed...
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Hilmil Pradana
Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur before the incident happens for a wide range of driving scenarios and conditions. One challenge to building advanced driver assistance systems is to create an e...
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Nadja Schömig, Katharina Wiedemann, André Wiggerich and Alexandra Neukum
Vehicles equipped with so-called partially automated driving functions are becoming more and more common nowadays. The special feature of this automation level is that the driver is relieved of the execution of the lateral and longitudinal driving task, ...
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