A review on threat assessment, path planning and path tracking strategies for collision avoidance systems of autonomous vehicles

UZA Hamid, Y Saito, H Zamzuri… - … Journal of Vehicle …, 2018 - inderscienceonline.com
The growth of automation sector has brought numerous autonomous technology
developments in many sectors, especially automotive. The autonomous features are proven …

Motion planning and control of autonomous driving intelligence system based on risk potential optimization framework

P Raksincharoensak, T Hasegawa… - International Journal of …, 2016 - jstage.jst.go.jp
This study proposes a motion planning and control system based on collision risk potential
prediction characteristics of experienced drivers. Recently, automatic braking systems have …

Threat assessment techniques in intelligent vehicles: A comparative survey

Y Li, K Li, Y Zheng, B Morys, S Pan… - IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Threat assessment evaluates the situational criticality and helps guarantee the driving safety
of intelligent vehicles. Many critical metrics have been proposed for threat assessment, and …

Compact representation of dynamic driving environments for ADAS by parametric free space and dynamic object maps

M Schreier, V Willert, J Adamy - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
We present a novel parametric representation of general dynamic driving environments. It is
particularly suitable for near-future Advanced Driver Assistance Systems due to its …

Model predictive trajectory planning for automated driving

B Yi, P Bender, F Bonarens… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In order to enable automated driving systems on the road, several key challenges need to
be solved. One of these issues is real-time maneuver decision and trajectory planning. This …

Big data role in improving intelligent transportation systems safety: A survey

MA Amin, S Hadouej, TSJ Darwish - Advances in Internet, Data and Web …, 2019 - Springer
Achieving smart and intelligent transportation requires the use of millions of devices which
generate a huge volume of data, termed as Big Data. With the flourishing of Big Data …

Online adaptation of the level of haptic authority in a lane keeping system considering the driver's state

MA Benloucif, C Sentouh, J Floris, P Simon… - … research part F: traffic …, 2019 - Elsevier
Driver distraction is an important factor of accidents. Not only in manual driving, the driver
state information is also interesting to consider in automated driving systems in order to …

Modular design of artificial potential field and nonlinear model predictive control for a vehicle collision avoidance system with move blocking strategy

UZ Abdul Hamid, H Zamzuri… - Proceedings of the …, 2018 - journals.sagepub.com
The collision avoidance (CA) system is a pivotal part of the autonomous vehicle. Ability to
navigate the vehicle in various hazardous scenarios demands reliable actuator …

Driver–vehicle cooperation: a hierarchical cooperative control architecture for automated driving systems

C Guo, C Sentouh, JB Haué, JC Popieul - Cognition, Technology & Work, 2019 - Springer
The concept of automated driving changes the way humans interact with their cars.
However, how humans should interact with automated driving systems remains an open …

Predictive driving: Fusing prediction and planning for automated highway driving

C Lienke, C Wissing, M Keller… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
To guide an automated vehicle safely through complex traffic, knowledge about the future
evolution of the driving situation has to be considered. The contribution at hand proposes an …