Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
Paper i proceeding, 2023

Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360° perception and temporal reasoning. To address this gap, we introduce Zenseact Open Dataset (ZOD), a large- scale and diverse multimodal dataset collected over two years in various European countries, covering an area 9×that of existing datasets. ZOD boasts the highest range and resolution sensors among comparable datasets, coupled with detailed keyframe annotations for 2D and 3D objects (up to 245m), road instance/semantic segmentation, traffic sign recognition, and road classification. We believe that this unique combination will facilitate breakthroughs in long-range perception and multi-task learning. The dataset is composed of Frames, Sequences, and Drives, designed to encompass both data diversity and support for spatio-temporal learning, sensor fusion, localization, and mapping. Frames consist of 100k curated camera images with two seconds of other supporting sensor data, while the 1473 Sequences and 29 Drives include the entire sensor suite for 20 seconds and a few minutes, respectively. ZOD is the only large-scale AD dataset released under a permissive license, allowing for both research and commercial use. More information, and an extensive devkit, can be found at zod.zenseact.com.

Autonomous driving

dataset

autonoma fordon

Författare

Mina Alibeigi

Zenseact AB

William Ljungbergh

Zenseact AB

Adam Tonderski

Zenseact AB

Georg Hess

Zenseact AB

Adam Lilja

Zenseact AB

Carl Lindström

Zenseact AB

Daria Motorniuk

Zenseact AB

Junsheng Fu

Zenseact AB

Jenny Widahl

Zenseact AB

Christoffer Petersson

Zenseact AB

2023 IEEE/CVF International Conference on Computer Vision

2380-7504 (ISSN)

20121-20131
979-8-3503-0718-4 (ISBN)

2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023
Paris, France,

Följning av objekt för självkörande fordon med hjälp av djup maskininlärning

Wallenberg AI, Autonomous Systems and Software Program, 2021-08-01 -- 2025-08-01.

Styrkeområden

Transport

Ämneskategorier

Datavetenskap (datalogi)

Datorseende och robotik (autonoma system)

DOI

10.1109/ICCV51070.2023.01846

Relaterade dataset

Zenseact Open Dataset [dataset]

URI: https://zod.zenseact.com/

Mer information

Senast uppdaterat

2024-11-18