LTF End-to-End Inference

This repo is the implementation of LTF test client for HUGSIM benchmark

The implementation is based on:

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Daniel Dauner^1,2, Marcel Hallgarten^1,5, Tianyu Li³, Xinshuo Weng⁴, Zhiyu Huang^4,6, Zetong Yang³
Hongyang Li³, Igor Gilitschenski^7,8, Boris Ivanovic⁴, Marco Pavone^4,9, Andreas Geiger^1,2, and Kashyap Chitta^1,2

¹University of Tübingen, ²Tübingen AI Center, ³OpenDriveLab at Shanghai AI Lab, ⁴NVIDIA Research
⁵Robert Bosch GmbH, ⁶Nanyang Technological University, ⁷University of Toronto, ⁸Vector Institute, ⁹Stanford University

Advances in Neural Information Processing Systems (NeurIPS), 2024
Track on Datasets and Benchmarks

Installation

Please refer to NAVSIM installation instructions.

Please change ${NAVSIM_PATH} in ltf_e2e.sh as the path on your machine.

Launch Client

Manually Launch

zsh ./ltf_e2e.sh ${CUDA_ID} ${output_dir}

Auto Lauch

The client can be auto lauched by the HUGSIM closed-loop script.