Results 71 to 80 of about 6,681 (252)

Challenges for Automated Cooperative Driving: The AutoNet2030 Approach

, 2016
Automated driving is expected to significantly contribute to future safe and efficient mobility. Whereas classical automated approaches solely consider the host vehicle, AutoNet2030 aims to investigate a cooperative approach where communication is used to build decentralized control systems, facilitate cooperative traffic flow optimization, and enhance
Obst, Marcus, Marjovi, Ali, Vasic, Milos, Navarro Oiza, Inaki, Martinoli, Alcherio, Amditis, Angelos, Pantazopoulos, Panagiotis, Llatser, Ignacio, de La Fortelle, Arnaud, Qian, Xiangjun   +9 more
openaire   +2 more sources

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Multi-Cell Cooperative Resource Allocation and Performance Evaluation for Roadside-Assisted Automated Driving

World Electric Vehicle Journal
The proliferation of wireless technologies, particularly the advent of 5G networks, has ushered in transformative possibilities for enhancing vehicular communication systems, particularly in the context of autonomous driving.
Shu Yang, Xuanhan Zhu, Yang Li, Quan Yuan, Lili Li   +4 more
doaj   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

The study of cooperative merging algorithm based on the assignment model for connected and automated vehicles

Journal of Highway and Transportation Research and Development
A cooperative control algorithm based on an assignment model is proposed for the merging areas of urban roads and highways, specifically designed for connected and automated vehicles.
Wei Huang, Shoufeng Lu, Huicheng Li, Wenwen Zhang   +3 more
doaj   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Analyzing the Impact of Different Lane Management Strategies on Mixed Traffic Flow with CAV Platoons

Systems
Mixed traffic flow composed of connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) represents a core characteristic of intelligent transportation systems.
Zhihong Yao, Yumei Wu, Jinrun Wang, Yi Wang, Gen Li, Yangsheng Jiang   +5 more
doaj   +1 more source

Cross-Border Interoperability for Cooperative, Connected, and Automated Driving

IEEE Intelligent Transportation Systems Magazine, 2022
Naranjo Hernández, José Eugenio, Jiménez Alonso, Felipe, Castiñeira García, Rodrigo, Gil Cabeza, Mauro, Premebida, Cristiano, Serra, Pedro, Valejo, Alberto, Nashashibi, Fawzi, Magalhaes, Conceição   +8 more
openaire   +2 more sources

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

CoDrive-MLF: Empirical Validation of Cooperative Driving via a Multi-Layer V2V Evaluation Framework

IEEE Open Journal of Intelligent Transportation Systems
Standalone Automated Driving Systems (ADS) face inherent limitations in safety and efficiency due to sensor occlusion and uncertainty in predicting other vehicles’ intentions. Vehicle-to-Vehicle (V2V) cooperation has been proposed to address these
Kana Kim, Heesang Yoon, Jaejun Lee, Vijay Kakani, Inwook Shim, Hakil Kim   +5 more
doaj   +1 more source