haesungoh/MVAdapt-Dataset
MVAdapt Dataset This repository contains the dataset for the paper MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving. MVAdapt is a physics-conditioned adaptation framework for multi-vehicle end-to-end (E2E) autonomous driving. The dataset includes driving data for 27 different vehicles in the CARLA simulator, covering a wide range of physical properties such as size, mass, and drivetrain characteristics. GitHub Repository Dataset… See the full description on the dataset page: https://huggingface.co/datasets/haesungoh/MVAdapt-Dataset.
| Author / organization | haesungoh |
|---|---|
| License (as declared) | mit |
| Downloads | 426 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 June 2025 |
| Last updated at source | 15 April 2026 |
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- 16 Oct 2026 Description: MVAdapt Dataset This repository contains the dataset for the paper MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving. MVAdapt is a physics-conditioned adaptation framework for multi-vehicle end-to-end (E2E) auton → MVAdapt Dataset This repository contains the dataset for the paper MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving. MVAdapt is a physics-conditioned adaptation framework for multi-vehicle end-to-end (E2E) auton
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