Results 11 to 20 of about 1,739,025 (304)

Autonomous Driving Open Road Complexity Classification [PDF]

Sensors
Autonomous vehicle open-road testing is a crucial component in the development of intelligent and connected vehicle (ICV) industries. The classification of road complexity plays a key role in ensuring the safety and efficiency of such tests.
Hongpan Yue, Yichun Jia, Tongfei Li
doaj   +2 more sources

A Rural Transport Implementation Index for Connected, Autonomous and Electric Vehicles [PDF]

, 2022
With connected, autonomous and electric vehicles (CAEV) developing rapidly, there is a need to better support their implementation into rural scenarios, where there are numerous transport challenges.
Stuart Marsh, Marsh, Stuart, Joseph Walters, Joseph George Walters, Lucelia Rodrigues, Walters, Joseph George, Rodrigues, Lucelia   +6 more
core   +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

A Multi-Task Fusion Strategy-Based Decision-Making and Planning Method for Autonomous Driving Vehicles

Sensors, 2023
The autonomous driving technology based on deep reinforcement learning (DRL) has been confirmed as one of the most cutting-edge research fields worldwide.
Weiguo Liu, Zhiyu Xiang, Han Fang, Ke Huo, Zixu Wang   +4 more
doaj   +1 more source

Deep Meta-Learning Energy-Aware Path Planner for Unmanned Ground Vehicles in Unknown Terrains

IEEE Access, 2022
This paper presents an adaptive energy-aware prediction and planning framework for vehicles navigating over terrains with varying and unknown properties.
Marco Visca, Roger Powell, Yang Gao, Saber Fallah   +3 more
doaj   +1 more source

Artificial Intelligence for Vehicle Behavior Anticipation: Hybrid Approach Based on Maneuver Classification and Trajectory Prediction

IEEE Access, 2020
Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous ...
Abdelmoudjib Benterki, Moussa Boukhnifer, Vincent Judalet, Choubeila Maaoui   +3 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

Effect of Thermal via Design on Heat Dissipation of High-Lead QFN Packages Mounted on PCB

Applied Sciences, 2023
The quad flat no-lead package (QFN) is widely used in integrated circuits due to its advantages in performance and cost. With the increasing power of electronic products, effective heat dissipation from QFN packages has become crucial to prevent product ...
Ziyi Yuan, Dongyan Ding, Wenlong Zhang
doaj   +1 more source

Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles

, 2022
The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle ...
Mhiri, Saber, CHOI, YOU-JUN, Guijarro, Jordi   +2 more
core   +1 more source

Connected Vehicles: A Privacy Analysis [PDF]

, 2019
Just as the world of consumer devices was forever changed by the introduction of computer controlled solutions, the introduction of the engine control unit (ECU) gave rise to the automobile's transformation from a transportation product to a technology platform.
Mark Quinlan, Jun Zhao 0003, Andrew Simpson 0001   +2 more
openaire   +4 more sources