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Planning and decision-making for autonomous vehicles
In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning
Driving behavior modeling is of great importance for designing safe, smart, and
personalized autonomous driving systems. In this paper, an internal reward function-based …
personalized autonomous driving systems. In this paper, an internal reward function-based …
Autonomous vehicles in the sustainable cities, the beginning of a green adventure
Every revolution promises a spirit of optimism and significant changes. Connected and
automated vehicles (CAVs) are coming to our roadways. CAVs have a crucial role to play in …
automated vehicles (CAVs) are coming to our roadways. CAVs have a crucial role to play in …
[Књига][B] Digitalisierung
R Neugebauer - 2017 - Springer
Das Digitale Zeitalter begann vergleichsweise langsam. Als erster Computer, der den
binären Code verwendete und programmierbar war, gilt Zuse Z3, entwickelt und gebaut von …
binären Code verwendete und programmierbar war, gilt Zuse Z3, entwickelt und gebaut von …
Analyzing the suitability of cost functions for explaining and imitating human driving behavior based on inverse reinforcement learning
Autonomous vehicles are sharing the road with human drivers. In order to facilitate
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
Hierarchical optimal maneuver planning and trajectory control at on-ramps with multiple mainstream lanes
Connected Automated Vehicles (CAVs) have the potential to improve traffic operations when
they cooperatively maneuver in merging sections. State-of-the-art approaches in …
they cooperatively maneuver in merging sections. State-of-the-art approaches in …
A survey of scene understanding by event reasoning in autonomous driving
Realizing autonomy is a hot research topic for automatic vehicles in recent years. For a long
time, most of the efforts to this goal concentrate on understanding the scenes surrounding …
time, most of the efforts to this goal concentrate on understanding the scenes surrounding …
Lane-merging strategy for a self-driving car in dense traffic using the stackelberg game approach
This paper presents the lane-merging strategy for self-driving cars in dense traffic using the
Stackelberg game approach. From the perspective of the self-driving car, in order to make …
Stackelberg game approach. From the perspective of the self-driving car, in order to make …
A human factors approach to validating driver models for interaction-aware automated vehicles
A major challenge for autonomous vehicles is interacting with other traffic participants safely
and smoothly. A promising approach to handle such traffic interactions is equip** …
and smoothly. A promising approach to handle such traffic interactions is equip** …