ROCVOct 26, 2019

Driving Datasets Literature Review

arXiv:1910.11968v18 citations
Originality Synthesis-oriented
AI Analysis

It organizes information for researchers and practitioners in autonomous driving, but is incremental as a literature review.

This paper surveys existing autonomous driving datasets, categorizing them by sensor types, calibration procedures, driving tasks, and providing comprehensive tables of available datasets.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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