RESEARCH PAPERYear 2023

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

Mina Alibeigi; William Ljungbergh; Adam Tonderski; Georg Hess; Adam Lilja; Carl Lindström; Daria Motorniuk; Junsheng Fu; Jenny Widahl; Christoffer Petersson

Read paper PDF

Classification

View four quadrants

Major category: Datasets
Quadrant: Not applicable
Architecture: Not applicable
Prediction paradigm: Not applicable
Subcategories: Autonomous driving perception data Motion prediction & planning data Multisensor & spatial annotations
Source review status: Verified from primary sources

AT A GLANCE

Contribution

A contribution summary has not been added yet.

Abstract

An abstract has not been added yet.

Affiliations

Not listed in the collection.

BibTeX

@inproceedings{zod,
  author       = {Mina Alibeigi and
                  William Ljungbergh and
                  Adam Tonderski and
                  Georg Hess and
                  Adam Lilja and
                  Carl Lindstr{\"{o}}m and
                  Daria Motorniuk and
                  Junsheng Fu and
                  Jenny Widahl and
                  Christoffer Petersson},
  title        = {Zenseact Open Dataset: {A} large-scale and diverse multimodal dataset
                  for autonomous driving},
  booktitle    = {ICCV},
  pages        = {20121--20131},
  year         = {2023},
}

Classification

Contribution

Abstract

Affiliations

BibTeX

More in this category

Building Pretraining Data for World Models: An Unreal Engine-Based Pipeline for Action-Conditioned Video Generation

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning