Results 21 to 30 of about 2,414,319 (289)

Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment

Nature Communications, 2021
Driving intelligence tests are critical to the development and deployment of autonomous vehicles. The prevailing approach tests autonomous vehicles in life-like simulations of the naturalistic driving environment.
Shuo Feng, Xintao Yan, Haowei Sun, Yiheng Feng, Henry X. Liu   +4 more
semanticscholar   +1 more source

Information Distribution in Multi-Robot Systems: Utility-Based Evaluation Model

Sensors, 2020
This work addresses the problem of information distribution in multi-robot systems, with an emphasis on multi-UAV (unmanned aerial vehicle) applications.
Michał Barciś, Agata Barciś, Hermann Hellwagner   +2 more
doaj   +1 more source

Cut-Out Scenario Generation With Reasonability Foreseeable Parameter Range From Real Highway Dataset for Autonomous Vehicle Assessment

IEEE Access, 2023
This study aims to generate test cases for scenario-based assessment of automated driving systems (ADS) when encounter a cut-out maneuver where the lead vehicle having changed lanes, revealing a new lead vehicle that, in some cases, is slower than the ...
H. Muslim, S. Endo, H. Imanaga, S. Kitajima, N. Uchida, E. Kitahara, K. Ozawa, H. Sato, H. Nakamura   +8 more
doaj   +1 more source

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

IEEE Access, 2021
Blockchain is an underlying technology for securing many real-time applications and their data. The automobile is one such sector in which auto-manufacturers are looking forward to accepting the advantages of distributed ledger technology in autonomous ...
Saurabh Jain, Neelu Jyothi Ahuja, P. Srikanth, Kishor Vinayak Bhadane, Bharathram Nagaiah, Adarsh Kumar, Charalambos Konstantinou   +6 more
doaj   +1 more source

Autonomous Vehicles in 5G and Beyond: A Survey [PDF]

Vehicular Communications, 2022
Fifth Generation (5G) technology is an emerging and fast adopting technology which is being utilized in most of the novel applications that require highly reliable low-latency communications.
S. Hakak, T. Gadekallu, Praveen Kumar Reddy Maddikunta, Swarna Priya Ramu, P. M, Chamitha de Alwis, Madhusanka Liyanage   +6 more
semanticscholar   +1 more source

Vegetation Cover Type Classification Using Cartographic Data for Prediction of Wildfire Behaviour

Fire, 2023
Predicting the behaviour of wildfires can help save lives and reduce health, socioeconomic, and environmental impacts. Because wildfire behaviour is highly dependent on fuel type and distribution, their accurate estimation is paramount for accurate ...
Mohammad Tavakol Sadrabadi, Mauro Sebastián Innocente   +1 more
doaj   +1 more source

Autonomous Vehicles: Sophisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions

Journal of Cybersecurity and Privacy, 2023
Autonomous vehicles (AVs), defined as vehicles capable of navigation and decision-making independent of human intervention, represent a revolutionary advancement in transportation technology.
Anastasios Giannaros, Aristeidis Karras, Leonidas Theodorakopoulos, Christos N. Karras, Panagiotis Kranias, Nikolaos Schizas, Gerasimos Kalogeratos, Dimitrios Tsolis   +7 more
semanticscholar   +1 more source

A fault-tolerant and robust controller using model predictive path integral control for free-flying space robots

Frontiers in Robotics and AI, 2022
The use of manipulators in space missions has become popular, as their applications can be extended to various space missions such as on-orbit servicing, assembly, and debris removal.
Mehran Raisi, Amirhossein Noohian, Saber Fallah   +2 more
doaj   +1 more source

Probabilistic Meta-Conv1D Driving Energy Prediction for Mobile Robots in Unstructured Terrains

IEEE Access, 2022
Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and ...
Marco Visca, Roger Powell, Yang Gao, Saber Fallah   +3 more
doaj   +1 more source

Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach

IEEE Transactions on Intelligent Vehicles, 2023
Reinforcementlearning holds the promise of allowing autonomous vehicles to learn complex decision making behaviors through interacting with other traffic participants.
Xiangkun He, Haohan Yang, Zhongxu Hu, Chen Lv   +3 more
semanticscholar   +1 more source