A review on key challenges in intelligent vehicles: Safety and driver‐oriented features
The huge advantages of intelligent vehicles (IVs) in improving road safety and operating
efficiency have become a research focus in the industry. IVs have made significant progress …
efficiency have become a research focus in the industry. IVs have made significant progress …
Personalized car-following control based on a hybrid of reinforcement learning and supervised learning
D Song, B Zhu, J Zhao, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicles, more research has focused on achieving
human-like driving. As an important component of intelligent vehicle control, car-following …
human-like driving. As an important component of intelligent vehicle control, car-following …
Human-in-the-loop deep reinforcement learning with application to autonomous driving
Due to the limited smartness and abilities of machine intelligence, currently autonomous
vehicles are still unable to handle all kinds of situations and completely replace drivers …
vehicles are still unable to handle all kinds of situations and completely replace drivers …
Federated learning based driver recommendation for next generation transportation system
Driving behavior analysis benefits the transportation system in terms of road safety,
maintenance costs, vehicle's off-road time, fuel consumption, and enhanced driving …
maintenance costs, vehicle's off-road time, fuel consumption, and enhanced driving …
Human‐Like Interactive Behavior Generation for Autonomous Vehicles: A Bayesian Game‐Theoretic Approach with Turing Test
Interacting with surrounding road users is a key feature of autonomous vehicles and is
critical for their intelligence testing. Existing interaction modalities in autonomous vehicle …
critical for their intelligence testing. Existing interaction modalities in autonomous vehicle …
Deep learning enhanced driving behavior evaluation based on vehicle-edge-cloud architecture
With the rapid development of 5 G, artificial intelligence and other technologies, the
intelligent transportation system (ITS) bursts flourish fireworks. It is acknowledged that …
intelligent transportation system (ITS) bursts flourish fireworks. It is acknowledged that …
[HTML][HTML] Influences of personal driving styles and experienced system characteristics on driving style preferences in automated driving
L Vasile, B Seitz, V Staab, M Liebherr, C Däsch… - Applied Sciences, 2023 - mdpi.com
As automated driving technology continues to advance, the question of how users prefer to
be driven in their new, more passive role is becoming increasingly relevant. In this paper, a …
be driven in their new, more passive role is becoming increasingly relevant. In this paper, a …
Occlusion-aware motion planning for autonomous driving
D Wang, W Fu, J Zhou, Q Song - IEEE Access, 2023 - ieeexplore.ieee.org
Motion planning for autonomous vehicles remains a challenge in urban road environments
with occlusions. In this study, we present a motion planning framework that prioritizes safety …
with occlusions. In this study, we present a motion planning framework that prioritizes safety …
Multitask learning assisted driver identity authentication and driving behavior evaluation
The industrial Internet of Things has become the new driving force for the automobile
industry, making people's travel increasingly convenient. However, there are still a multitude …
industry, making people's travel increasingly convenient. However, there are still a multitude …
Occlusion-aware motion planning with visibility maximization via active lateral position adjustment
As the operational domain of autonomous vehicles expands, encountering occlusions
during navigation becomes unavoidable. Most of the existing research on occlusion-aware …
during navigation becomes unavoidable. Most of the existing research on occlusion-aware …