DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding-Reference-Cited by-同舟云学术

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DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding

Published:2024 Issue: Volume:12 Page:60628-60640
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Duah John Owusu¹^ORCID,Aboah Armstrong²^ORCID,Osafo-Gyamfi Stephen³^ORCID

Affiliation:

1. Artificial Intelligence Department, Cloud Software Group, Raleigh, NC, USA

2. Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA

3. Civil Engineering Department, University of Mississippi, Oxford, MS, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10509834.pdf?arnumber=10509834

Reference40 articles.

1. nuScenes: A Multimodal Dataset for Autonomous Driving

2. The cityscapes dataset;Cordts

3. Value of Temporal Dynamics Information in Driving Scene Segmentation

4. Waymo Open Dataset: Panoramic Video Panoptic Segmentation

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