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arXiv · 2003.11766

DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems

Sai Krishna Bashetty·Heni Ben Amor·Georgios Fainekos
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Abstract

The goal of this paper is to generate simulations with real-world collision scenarios for training and testing autonomous vehicles. We use numerous dashcam crash videos uploaded on the internet to extract valuable collision data and recreate the crash scenarios in a simulator. We tackle the problem of extracting 3D vehicle trajectories from videos recorded by an unknown and uncalibrated monocular camera source using a modular approach. A working architecture and demonstration videos along with the open-source implementation are provided with the paper.

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BibTeXRIS

Sai Krishna Bashetty, Heni Ben Amor, Georgios Fainekos. 2020-03-26. DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems. https://arxiv.org/abs/2003.11766

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