# Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation

arXiv: https://arxiv.org/abs/2207.11384 · HTML: https://mlsanity.com/paper/2207.11384/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Jul 2022.

## Built on by (most cited first, 5 of 5)

- [Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges](https://mlsanity.com/paper/2308.10407/) (2023)
- [Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers](https://mlsanity.com/paper/2212.13196/) (2022)
- [Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization](https://mlsanity.com/paper/2305.08178/) (2023)
- [AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems](https://mlsanity.com/paper/2505.16402/) (2025)
- [AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception](https://mlsanity.com/paper/2502.08374/) (2025)

## 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.