Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation
Not on the map. Why?
Abstract (arXiv)
Amphibious ground-aerial vehicles fuse flying and driving modes to enable more flexible air-land mobility and have received growing attention recently. By analyzing the existing amphibious vehicles, we highlight the autonomous fly-driving functionality for the effective uses of amphibious vehicles in complex three-dimensional urban transportation systems. We review and summarize the key enabling technologies for intelligent flying-driving in existing amphibious vehicle designs, identify major technological barriers and propose potential solutions for future research and innovation. This paper aims to serve as a guide for research and development of intelligent amphibious vehicles for urban transportation toward the future.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Jul 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 2.
5 papers.
- 2023Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challengescited by 40
- 2022Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformerscited by 13
- 2023Path Planning for Air-Ground Robot Considering Modal Switching Point Optimizationcited by 5
- 2025AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systemscited by 4
- 2025AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perceptioncited by 3
- 2025AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems22 May 2025
- 2025AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception12 Feb 2025
- 2023Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges21 Aug 2023
- 2023Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization14 May 2023
- 2022Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers26 Dec 2022