Driving Datasets Literature Review

2019/10/26 by Charles-Éric Noël Laflamme, Laflamme, Charles-Éric Noël, François Pomerleau +3
Computer Science · Engineering · #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #Video Surveillance and Tracking Methods

paper · pdf · doi:10.48550/arxiv.1910.11968

openalex publication_date 2019/10/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This report is a survey of the different autonomous driving datasets which have been published up to date. The first section introduces the many sensor types used in autonomous driving datasets. The second section investigates the calibration and synchronization procedure required to generate accurate data. The third section describes the diverse driving tasks explored by the datasets. Finally, the fourth section provides comprehensive lists of datasets, mainly in the form of tables.

Citations

• Hand-Eye Calibration
• Vision meets robotics: The KITTI dataset
• Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
• Learning a Driving Simulator
• 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
• Joint Attention in Autonomous Driving (JAAD)
• 1 year, 1000 km: The Oxford RobotCar dataset
• Scene Flow Estimation: A Survey
• A Review on Deep Learning Techniques Applied to Semantic Segmentation
• YOLOv3: An Incremental Improvement
• Deep Learning for Generic Object Detection: A Survey
• Highway Driving Dataset for Semantic Video Segmentation
• A Commute in Data: The comma2k19 Dataset
• The StreetLearn Environment and Dataset
• BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
• Complex urban dataset with multi-level sensors from highly diverse urban environments
• Object Detection in 20 Years: A Survey
• CityPersons: A Diverse Dataset for Pedestrian Detection
• Multi-View 3D Object Detection Network for Autonomous Driving
• IDD: A Dataset for Exploring Problems of Autonomous Navigation in\n Unconstrained Environments

Related

• A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
• A Survey on Datasets for Decision-making of Autonomous Vehicle
• Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future
• Development of Open Informal Dataset Affecting Autonomous Driving
• Collaborative Perception Datasets in Autonomous Driving: A Survey