Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
[HTML][HTML] A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving
Abstract Recent advances in Intelligent Transport Systems (ITS) and Artificial Intelligence
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …
Hierarchical interpretable imitation learning for end-to-end autonomous driving
End-to-end autonomous driving provides a simple and efficient framework for autonomous
driving systems, which can directly obtain control commands from raw perception data …
driving systems, which can directly obtain control commands from raw perception data …
FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion
In recent years, significant achievements have been made in motion planning for intelligent
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
Recent advancements in end-to-end autonomous driving using deep learning: A survey
End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …
modular systems, such as their overwhelming complexity and propensity for error …
[HTML][HTML] Deep reinforcement learning based control for Autonomous Vehicles in CARLA
Ó Pérez-Gil, R Barea, E López-Guillén… - Multimedia Tools and …, 2022 - Springer
Abstract Nowadays, Artificial Intelligence (AI) is growing by leaps and bounds in almost all
fields of technology, and Autonomous Vehicles (AV) research is one more of them. This …
fields of technology, and Autonomous Vehicles (AV) research is one more of them. This …
Mining 5.0: Concept and framework for intelligent mining systems in CPSS
This letter is part of the Intelligent Mining Development Forum and aims to summarize the
discussions of Mining 5.0 from Intelligent Vehicle 5.0 project by IEEE TIV, which represents a …
discussions of Mining 5.0 from Intelligent Vehicle 5.0 project by IEEE TIV, which represents a …
Deep Reinforcement Learning-Based Energy-Efficient Decision-Making for Autonomous Electric Vehicle in Dynamic Traffic Environments
Autonomous driving techniques are promising for improving the energy efficiency of
electrified vehicles (EVs) by adjusting driving decisions and optimizing energy requirements …
electrified vehicles (EVs) by adjusting driving decisions and optimizing energy requirements …
Learning configurations of operating environment of autonomous vehicles to maximize their collisions
Autonomous vehicles must operate safely in their dynamic and continuously-changing
environment. However, the operating environment of an autonomous vehicle is complicated …
environment. However, the operating environment of an autonomous vehicle is complicated …
Adaptive lane change trajectory planning scheme for autonomous vehicles under various road frictions and vehicle speeds
This paper proposes an adaptive lane change trajectory planning scheme to road friction
and vehicle speed for autonomous driving, while considering both the maneuver safety and …
and vehicle speed for autonomous driving, while considering both the maneuver safety and …