# Revolutionizing Mobility:The Latest Advancements in Autonomous Vehicle Technology

arXiv: https://arxiv.org/abs/2412.20688 · HTML: https://mlsanity.com/paper/2412.20688/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Dec 2024.

## Built on by (most cited first, 2 of 2)

- [ME3-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End Autonomous Driving with BEV-Perception](https://mlsanity.com/paper/2508.06074/) (2025)
- [Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras](https://mlsanity.com/paper/2505.17582/) (2025)

## Abstract (arXiv)

Autonomous vehicle (AV) technology is transforming the landscape of transportation bypromising safer, more efficient, and sustainable mobilitysolutions. In recent years, significant advancements in AI, machine learning, sensor fusion, and vehicle-to-everything(V2X)communicationhavepropelledthedevelopmentoffullyautonomous vehicles. This paper explores the cutting-edge technologies driving the evolution of AVs,thechallengesfacedintheirdeployment,andthepotentialsocietal,economic,and regulatory impacts. It highlights the key innovations in perception systems, decision-making algorithms, and infrastructure integration, as well as the emerging trends towards Level 4 and Level 5 autonomy. The paper also discusses future directions, including ethical considerations and the roadmap to mass adoption of autonomous mobility. Ultimately, the integrationofautonomousvehicles into globaltransportation systems is expected to revolutionize urban planning, reduce traffic accidents, and significantlyloweremissions,pavingthewayforasmarterandmoresustainablefuture.