A Physics-Informed Generative Car-Following Model for Connected Autonomous Vehicles [PDF]
Entropy, 2023 This paper proposes a novel hybrid car-following model: the physics-informed conditional generative adversarial network (PICGAN), designed to enhance multi-step car-following modeling in mixed traffic flow scenarios.
Lijing Ma +4 more
doaj +2 more sources
Autonomous Driving Open Road Complexity Classification [PDF]
SensorsAutonomous 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
Automotive Telemetry in Connected Vehicles: A Review of 5G and Satellite Communication Technologies for Long-Range Data Transmission [PDF]
SensorsThe rapid evolution of connected and autonomous vehicles has significantly increased the importance of automotive telemetry as a fundamental component of intelligent transportation systems.
Jozef Jaroslav Fekiač +6 more
doaj +2 more sources
Knowledge-guided self-learning control strategy for mixed vehicle platoons with delays [PDF]
Nature CommunicationsAs autonomous vehicles and traditional vehicles will coexist for several decades, how to efficiently manage the mixed traffic, while enhancing road throughput, fuel consumption and traffic stability becomes a challenge.
Jingyao Wang +7 more
doaj +2 more sources
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
Sensors, 2021 The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the opaqueness of the resulting control policies presents a significant barrier to deploying neural network-based control in ...
Sampo Kuutti +2 more
doaj +1 more source
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 +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 +3 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 +3 more
doaj +1 more source
IEEE Open Journal of Intelligent Transportation Systems, 2021 In Cooperative Intelligent Transportation Systems (C-ITS), vehicles can communicate with one another and with the infrastructure. The openness of the transportation system to new functionalities and use cases may create new vulnerabilities that must be ...
Farah Haidar +5 more
doaj +1 more source
Cooperative Merging Strategy Between Connected Autonomous Vehicles in Mixed Traffic
IEEE Open Journal of Intelligent Transportation Systems, 2022 In this work we propose a new cooperation strategy between connected autonomous vehicles in on-ramps merging scenarios and we implement the cut-in risk indicator (CRI) to investigate the safety effect of the proposed strategy.
Eleonora Andreotti +2 more
doaj +1 more source