Results 161 to 170 of about 2,417,979 (237)

Boring But Demanding: Using Secondary Tasks to Counter the Driver Vigilance Decrement for Partially Automated Driving. [PDF]

Hum Factors
Mishler S, Chen J.
europepmc   +1 more source

Automated Driving and Law

TRENDS IN THE SCIENCES, 2020
openaire   +2 more sources

Highly automated driving

, 2012
Hesse, Tobias, Schieben, Anna
openaire   +1 more source

Challenges of Automated Driving

IEICE ESS Fundamentals Review, 2016
openaire   +2 more sources

Driver Visual Attention Before and After Take-Over Requests During Automated Driving on Public Roads. [PDF]

Hum Factors
Pipkorn L, Dozza M, Tivesten E.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Attention-Based Interrelation Modeling for Explainable Automated Driving

IEEE Transactions on Intelligent Vehicles, 2023
Automated driving desires better performance on tasks like motion planning and interacting with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high performance in these tasks with remarkable visual scene understanding and
Zhengming Zhang, Renran Tian, Rini Sherony, Joshua E. Domeyer, Zhengming Ding   +4 more
semanticscholar   +1 more source

Collaborative Dynamic 3D Scene Graphs for Automated Driving

IEEE International Conference on Robotics and Automation, 2023
Maps have played an indispensable role in enabling safe and automated driving. Although there have been many advances on different fronts ranging from SLAM to semantics, building an actionable hierarchical semantic representation of urban dynamic scenes ...
Elias Greve, Martin Buchner, Niclas Vodisch, Wolfram Burgard, Abhinav Valada   +4 more
semanticscholar   +1 more source

Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving

IEEE Robotics and Automation Letters, 2023
Offline reinforcement learning (RL) provides a framework for learning decision-making from offline data and therefore constitutes a promising approach for real-world applications such as automated driving (AD). Especially in safety-critical applications,
Christopher Diehl, Timo Sievernich, Martin Krüger, F. Hoffmann, Torsten Bertram   +4 more
semanticscholar   +1 more source

Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review.

Accident Analysis and Prevention, 2023
Automated Driving Systems (ADS) (SAE, 2021), promise improved safety and comfort for drivers. Current technological advances have resulted in increased automation capabilities.
A. Hungund, Anuj Kumar Pradhan
semanticscholar   +1 more source