Paper Reading AI Learner

RoboCar: A Rapidly Deployable Open-Source Platform for Autonomous Driving Research

2024-05-06 15:48:14
Mehdi Testouri, Gamal Elghazaly, Raphael Frank

Abstract

This paper introduces RoboCar, an open-source research platform for autonomous driving developed at the University of Luxembourg. RoboCar provides a modular, cost-effective framework for the development of experimental Autonomous Driving Systems (ADS), utilizing the 2018 KIA Soul EV. The platform integrates a robust hardware and software architecture that aligns with the vehicle's existing systems, minimizing the need for extensive modifications. It supports various autonomous driving functions and has undergone real-world testing on public roads in Luxembourg City. This paper outlines the platform's architecture, integration challenges, and initial test results, offering insights into its application in advancing autonomous driving research. RoboCar is available to anyone at this https URL and is released under an open-source MIT license.

Abstract (translated)

本文介绍了一个名为RoboCar的自驾研究平台,该平台是由 Luxembourg 大学开发的开放式源代码项目。RoboCar 为开发实验性的自动驾驶系统(ADS)提供了一个模块化、成本效益高的框架,利用 2018 年的 KIA Soul EV。该平台采用了一体化、可靠的硬件和软件架构,与车辆现有系统保持一致,最小化了广泛修改的需求。它支持各种自动驾驶功能,已在 Luxembourg 市内的公共道路上进行了实际测试。本文概述了平台的架构、集成挑战以及初始测试结果,为其在推动自动驾驶研究方面应用提供了洞察。RoboCar 可以在此链接处访问,并采用开源的 MIT 许可证发布。

URL

https://arxiv.org/abs/2405.03572

PDF

https://arxiv.org/pdf/2405.03572.pdf


Tags
3D Action Action_Localization Action_Recognition Activity Adversarial Agent Attention Autonomous Bert Boundary_Detection Caption Chat Classification CNN Compressive_Sensing Contour Contrastive_Learning Deep_Learning Denoising Detection Dialog Diffusion Drone Dynamic_Memory_Network Edge_Detection Embedding Embodied Emotion Enhancement Face Face_Detection Face_Recognition Facial_Landmark Few-Shot Gait_Recognition GAN Gaze_Estimation Gesture Gradient_Descent Handwriting Human_Parsing Image_Caption Image_Classification Image_Compression Image_Enhancement Image_Generation Image_Matting Image_Retrieval Inference Inpainting Intelligent_Chip Knowledge Knowledge_Graph Language_Model LLM Matching Medical Memory_Networks Multi_Modal Multi_Task NAS NMT Object_Detection Object_Tracking OCR Ontology Optical_Character Optical_Flow Optimization Person_Re-identification Point_Cloud Portrait_Generation Pose Pose_Estimation Prediction QA Quantitative Quantitative_Finance Quantization Re-identification Recognition Recommendation Reconstruction Regularization Reinforcement_Learning Relation Relation_Extraction Represenation Represenation_Learning Restoration Review RNN Robot Salient Scene_Classification Scene_Generation Scene_Parsing Scene_Text Segmentation Self-Supervised Semantic_Instance_Segmentation Semantic_Segmentation Semi_Global Semi_Supervised Sence_graph Sentiment Sentiment_Classification Sketch SLAM Sparse Speech Speech_Recognition Style_Transfer Summarization Super_Resolution Surveillance Survey Text_Classification Text_Generation Tracking Transfer_Learning Transformer Unsupervised Video_Caption Video_Classification Video_Indexing Video_Prediction Video_Retrieval Visual_Relation VQA Weakly_Supervised Zero-Shot