Generating Stereo Driving Data from GTA V for Stereo Visual SLAM tasks

We would like to introduce the TeFS (Temporal-controlled Frame Swap) method, to generate synthetic stereo-driving data from GTA V for stereo Visual SLAM tasks.

[Stereo Vison with Depth](https://preview.redd.it/3pzh5qvu7c4b1.jpg?width=3840&format=pjpg&auto=webp&v=enabled&s=74250d46263529c9ab4841d9007412894ba1d062)

[Ground Truth Trajectories for Odometry Tasks](https://preview.redd.it/8a2e9fzv7c4b1.png?width=1734&format=png&auto=webp&v=enabled&s=27ce03310fcf9e0e1eb82568878120af4ce06d3b)

Here's a short sample of the generated stereo-vision data from GTA V:

[Video Sample of Stereo Driving Data](https://reddit.com/link/1425t99/video/fq30zbtc9c4b1/player)

And here's our presentation: [Generating High-Fidelity Stereo Driving Data for Autonomy Analysis - YouTube](https://www.youtube.com/watch?v=mIfOBIx3HwA)

For more background context,

* TeFS is designed to overcome the lack of native …

computervision context data driving generated slam stereo-vision synthetic temporal vision visual slam