“Cyclist at 12 o'clock!”: a systematic review of in-vehicle advanced driver assistance systems (ADAS) for preventing car-rider crashes
Introduction While Advanced Driver Assistance Systems (ADAS) have become a prominent
topic in road safety research, there has been relatively little discussion about their …
topic in road safety research, there has been relatively little discussion about their …
Vision-based autonomous vehicle recognition: A new challenge for deep learning-based systems
A Boukerche, X Ma - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention
recently. Particularly given the reliance on emerging deep learning methods, which have …
recently. Particularly given the reliance on emerging deep learning methods, which have …
Risk quantification for automated driving systems in real-world driving scenarios
The development of safety validation methods is essential for the safe deployment and
operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to …
operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to …
Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles
GAP de Morais, LB Marcos, JNAD Bueno… - Control Engineering …, 2020 - Elsevier
Given the recent advances in computer vision, image processing and control systems, self-
driving vehicles has been one of the most promising and challenging research topics …
driving vehicles has been one of the most promising and challenging research topics …
A lane-change trajectory model from drivers' vision view
B Zhou, Y Wang, G Yu, X Wu - Transportation Research Part C: Emerging …, 2017 - Elsevier
Car-following and Lane-changing are two fundamental tasks during driving. While many car-
following models can be applied, relatively, only a few lane-changing models have been …
following models can be applied, relatively, only a few lane-changing models have been …
Steering angle prediction techniques for autonomous ground vehicles: a review
Unintentional lane departure accidents are one of the biggest reasons for the causalities that
occur due to human errors. By incorporating lane-keeping features in vehicles, many …
occur due to human errors. By incorporating lane-keeping features in vehicles, many …
An empirical analysis to assess the operational design domain of lane keeping system equipped vehicles combining objective and subjective risk measures
H Farah, S Bhusari, P Van Gent… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Lower levels of automation are designed to work in specific conditions referred to as the
Operational Design Domain (ODD). Beyond these conditions, the human driver is expected …
Operational Design Domain (ODD). Beyond these conditions, the human driver is expected …
Lateral and longitudinal motion control of autonomous vehicles using deep learning
The Current trend of the automotive industry combined with active research by the major
tech companies has proven that self-driving vehicles are the future. The biggest challenge …
tech companies has proven that self-driving vehicles are the future. The biggest challenge …
Behavioral cloning for lateral motion control of autonomous vehicles using deep learning
Current trend of the automotive industry combined with research by the major tech
companies has proved that self-driving vehicles are the future. With successful …
companies has proved that self-driving vehicles are the future. With successful …
A lane detection algorithm based on reliable lane markings
Y YenIaydin, KW Schmidt - 2018 26th Signal Processing and …, 2018 - ieeexplore.ieee.org
This paper proposes a robust and effective vision-based lane detection approach. First, two
binary images are obtained from the region of interest of gray-scale images. The obtained …
binary images are obtained from the region of interest of gray-scale images. The obtained …