CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation-Reference-Cited by-同舟云学术

CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation

Published:2022-05 Issue: Volume:104 Page:116667
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Butt Muhammad Atif^ORCID,Riaz Faisal

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. Self-driving cars;Daily;Computer,2017

2. Self-driving cars and the urban challenge;Urmson;IEEE Intell. Syst.,2008

3. Autonomous cars: Technical challenges and a solution to blind spot;Thakurdesai,2021

4. H. Rashed, E. Mohamed, G. Sistu, V.R. Kumar, C. Eising, A. El-Sallab, S. Yogamani, Generalized object detection on fisheye cameras for autonomous driving: Dataset, representations and baseline, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 2272–2280.

5. Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges;Feng;IEEE Trans. Intell. Transp. Syst.,2020

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PGGNet: Pyramid gradual-guidance network for RGB-D indoor scene semantic segmentation;Signal Processing: Image Communication;2024-10

2. A global reweighting approach for cross-domain semantic segmentation;Signal Processing: Image Communication;2024-09

3. R$$^{2}$$S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild;International Journal of Computer Vision;2024-08-23

4. Object Detection in Traffic Videos;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

5. Improving the Perception of Moronic Systems Whether Human or Self-Driving Vehicles Using Intelligent Agents: A Review;Signals and Communication Technology;2024