# AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development

arXiv: https://arxiv.org/abs/2212.13857 · HTML: https://mlsanity.com/paper/2212.13857/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Dec 2022.

## Built on by (most cited first, 6 of 6)

- [LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning](https://mlsanity.com/paper/2512.18211/) (2025)
- [V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration](https://mlsanity.com/paper/2309.15252/) (2023)
- [EI-Drive: A Platform for Cooperative Perception with Realistic Communication Models](https://mlsanity.com/paper/2412.09782/) (2024)
- [Assured Autonomy with Neuro-Symbolic Perception](https://mlsanity.com/paper/2505.21322/) (2025)
- [EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving](https://mlsanity.com/paper/2502.19260/) (2025)
- [Scaling Datasets for Multi-Sensor, Multi-Agent, and Multi-Domain Learning in Autonomous Systems](https://mlsanity.com/paper/2606.04444/) (2026)

## Abstract (arXiv)

Pioneers of autonomous vehicles (AVs) promised to revolutionize the driving experience and driving safety. However, milestones in AVs have materialized slower than forecast. Two culprits are (1) the lack of verifiability of proposed state-of-the-art AV components, and (2) stagnation of pursuing next-level evaluations, e.g., vehicle-to-infrastructure (V2I) and multi-agent collaboration. In part, progress has been hampered by: the large volume of software in AVs, the multiple disparate conventions, the difficulty of testing across datasets and simulators, and the inflexibility of state-of-the-art AV components. To address these challenges, we present AVstack, an open-source, reconfigurable software platform for AV design, implementation, test, and analysis. AVstack solves the validation problem by enabling first-of-a-kind trade studies on datasets and physics-based simulators. AVstack solves the stagnation problem as a reconfigurable AV platform built on dozens of open-source AV components in a high-level programming language. We demonstrate the power of AVstack through longitudinal testing across multiple benchmark datasets and V2I-collaboration case studies that explore trade-offs of designing multi-sensor, multi-agent algorithms.
