[HTML][HTML] How do autonomous vehicles decide?

S Malik, MA Khan, H El-Sayed, J Khan, O Ullah - Sensors, 2022 - mdpi.com
The advancement in sensor technologies, mobile network technologies, and artificial
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …

Decision-making technology for autonomous vehicles: Learning-based methods, applications and future outlook

Q Liu, X Li, S Yuan, Z Li - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Autonomous vehicles have a great potential in the application of both civil and military fields,
and have become the focus of research with the rapid development of science and …

Dynamic driving intention recognition of vehicles with different driving styles of surrounding vehicles

H Zhang, Z Zhang, J Liang - IET intelligent transport systems, 2022 - Wiley Online Library
Driving behaviour of surrounding vehicles have impacts on the security of ego vehicle.
However, many vehicles do not use the turn signal in advance as a warning when changing …

Identifying admissible uncertainty bounds for the input of planning algorithms

F Henze, D Faßbender, C Stiller - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In automated driving, a strong relation between the sensing modules and the planning
module exists, since the former provide uncertain information to the latter. To ensure good …

Multi-step training for predicting roundabout traffic situations

M Sackmann, T Leemann, H Bey… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Predicting the future trajectories of surrounding vehicles is an important challenge in
automated driving, especially in highly interactive environments such as roundabouts. Many …

POMDP planning at roundabouts

H Bey, M Sackmann, A Lange… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
In traffic, there are often situations with more than one possible future development. One of
these is entering a roundabout: If there is another vehicle in the roundabout, it may stay …

Handling prediction model errors in planning for automated driving using POMDPs

H Bey, M Sackmann, A Lange… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Decision making under uncertainty is a key challenge in automated driving. A source of
uncertainty is the unknown driving behavior of other traffic participants surrounding the …

A Deep Coordination Graph Convolution Reinforcement Learning for Multi‐Intelligent Vehicle Driving Policy

H Si, G Tan, H Zuo - Wireless Communications and Mobile …, 2022 - Wiley Online Library
With the growing up of Internet of Things technology, the application of Internet of Things has
been popularized in the field of intelligent vehicles. Therefore, more artificial intelligence …

Prediction error reduction of neural networks for car-following using multi-step training

M Sackmann, H Bey, U Hofmann… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Predicting the surrounding vehicles' behavior is an important requirement for automated
driving as it enables estimating others' reactions to the own behavior during planning as well …

Dynamic Coordination‐Based Reinforcement Learning for Driving Policy

H Si, G Tan, Y Peng, J Li - Wireless Communications and …, 2022 - Wiley Online Library
With the development of communication technology and artificial intelligence technology,
intelligent vehicle has become a very important part of Internet of Things technology. At …