Software verification and validation of safe autonomous cars: A systematic literature review
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …
caused by humans on roads, such as accidents and traffic congestion. However, those …
Collision avoidance: A literature review on threat-assessment techniques
For the last few decades, a lot of attention has been given to intelligent vehicle systems, and
in particular to automated safety and collision avoidance solutions. In this paper, we present …
in particular to automated safety and collision avoidance solutions. In this paper, we present …
Deep reinforcement learning enabled decision-making for autonomous driving at intersections
Road intersection is one of the most complex and accident-prone traffic scenarios, so it's
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …
Discovering adversarial driving maneuvers against autonomous vehicles
Over 33% of vehicles sold in 2021 had integrated autonomous driving (AD) systems. While
many adversarial machine learning attacks have been studied against these systems, they …
many adversarial machine learning attacks have been studied against these systems, they …
Prediction-uncertainty-aware threat detection for adas: A case study on lane-keeping assistance
J Dahl, GR de Campos… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Advanced driver assistance systems typically support the driver in cases where the driver is
likely to fail the driving task. The challenge, from a system perspective, is to accurately detect …
likely to fail the driving task. The challenge, from a system perspective, is to accurately detect …
Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision
X Nie, Y Liang, K Ohkura - Artificial Life and Robotics, 2023 - Springer
Decision making is an essential component of autonomous vehicle technology and received
significant attention from academic and industry organizations. One of the promising …
significant attention from academic and industry organizations. One of the promising …
Learning-based conceptual framework for threat assessment of multiple vehicle collision in autonomous driving
AJM Muzahid, SF Kamarulzaman… - 2020 Emerging …, 2020 - ieeexplore.ieee.org
The autonomous driving is increasingly mounting, promoting, and promising the future of
fully autonomous and, correspondingly presenting new challenges in the field of safety …
fully autonomous and, correspondingly presenting new challenges in the field of safety …
Adaptive Safety Distance for Collision Avoidance Based on a Full Braking Activation Parameter
In this paper, we propose an adaptive safety distance that is adjusted along the uncertain
braking duration of the object vehicle resulting in an improvement of driving comfort. In the …
braking duration of the object vehicle resulting in an improvement of driving comfort. In the …
A method for driving control authority transition for cooperative autonomous vehicle
Y Koo, J Kim, W Han - 2015 IEEE intelligent vehicles …, 2015 - ieeexplore.ieee.org
Many researchers have reported that a decline in driving concentration caused by
drowsiness or inattentiveness is one of the primary sources of serious car accidents. One of …
drowsiness or inattentiveness is one of the primary sources of serious car accidents. One of …
Toward highly automated driving by vehicle-to-infrastructure communications
S Noh, K An, W Han - 2015 15th International Conference on …, 2015 - ieeexplore.ieee.org
This paper presents a cooperative system by vehicle-to-infrastructure (V2I) communications
that extends the range of environmental perception and improves the performance of …
that extends the range of environmental perception and improves the performance of …