Results 61 to 70 of about 333,905 (165)

Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning

, 2017
Recent advances in combining deep learning and Reinforcement Learning have shown a promising path for designing new control agents that can learn optimal policies for challenging control tasks.
Givargis, Tony, Mirzaei, Hamid
core   +1 more source

Analysis of Lane-Changing Decision-Making Behavior of Autonomous Vehicles Based on Molecular Dynamics

Sensors, 2022
Along with the rapid development of autonomous driving technology, autonomous vehicles are showing a trend of practicality and popularity. Autonomous vehicles perceive environmental information through sensors to provide a basis for the decision making ...
Dayi Qu, Kekun Zhang, Hui Song, Tao Wang, Shouchen Dai   +4 more
doaj   +1 more source

Stick Shift: Autonomous Vehicles, Driving Jobs, and the Future of Work [PDF]

, 2017
More than 30 companies say they are just a few years away from introducing autonomous vehicles to the mass market. While it is unknown what the ultimate impact of autonomous vehicles will have on jobs, there is a possibility that there could be a ...
Algernon Austin, Cherrie Bucknor, Kevin Cashman, Maya Rockeymoore   +3 more
core  

Deep Reinforcement Learning framework for Autonomous Driving

, 2017
Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes.
Abdou, Mohammed, Perot, Etienne, Sallab, Ahmad El, Yogamani, Senthil   +3 more
core   +1 more source

Investigating the Improvement of Autonomous Vehicle Performance through the Integration of Multi-Sensor Dynamic Mapping Techniques

Sensors, 2023
The emergence of autonomous vehicles marks a shift in mobility. Conventional vehicles have been designed to prioritize the safety of drivers and passengers and increase fuel efficiency, while autonomous vehicles are developing as convergence technologies
Hyoduck Seo, Kyesan Lee, Kyujin Lee
doaj   +1 more source

The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles

Information, 2021
The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway autonomous vehicles is studied by combining the structural equation model and an artificial neural network.
Shuang Zhang, Peng Jing, Gang Xu
doaj   +1 more source

Energy Management of a Semi-Autonomous Truck Using a Blended Multiple Model Controller Based on Particle Swarm Optimization

Energies
Recently, the electrification and automation of heavy-duty trucks has gained significant attention from both industry and academia, driven by new legislation introduced by the European Union.
Mohammad Ghazali, Ishaan Gupta, Kemal Buyukkabasakal, Mohamed Amine Ben Abdallah, Caner Harman, Berfin Kahraman, Ahu Ece Hartavi   +6 more
doaj   +1 more source

Range-only benthic Rover localization off the central California coast [PDF]

, 2016
Nowadays, the use of autonomous vehicles for ocean research has increased, since these vehicles have a better cost/performance ratio than crewed vessels or oceanographic ships.
Gomáriz Castro, Spartacus, Kieft, B, Masmitjà Rusiñol, Ivan, O’Reilly, T, Río Fernandez, Joaquín del   +4 more
core   +3 more sources

Managing Autonomous Mobility on Demand Systems for Better Passenger Experience

, 2015
Autonomous mobility on demand systems, though still in their infancy, have very promising prospects in providing urban population with sustainable and safe personal mobility in the near future.
Lopes, Cristina, Shen, Wen
core   +1 more source

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies

Applied Sciences
Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets.
Iman Sharifi, Mustafa Yildirim, Saber Fallah   +2 more
doaj   +1 more source