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NVAutoNet: Fast and Accurate 360$^{\circ}$ 3D Visual Perception For Self
  Driving

NVAutoNet: Fast and Accurate 360∘^{\circ}∘ 3D Visual Perception For Self Driving

23 March 2023
Trung T. Pham
Mehran Maghoumi
Wanli Jiang
Bala Siva Sashank Jujjavarapu
Mehdi Sajjadi
Xin Liu
Hsuan-Chu Lin
Bor-Jeng Chen
Giang Truong
Chao Fang
Junghyun Kwon
Minwoo Park
ArXivPDFHTML

Papers citing "NVAutoNet: Fast and Accurate 360$^{\circ}$ 3D Visual Perception For Self Driving"

4 / 4 papers shown
Title
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria
Stefan Schoder
42
0
0
31 Dec 2024
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard
  Images
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images
Y. Can
Alexander Liniger
D. Paudel
Luc Van Gool
88
112
0
05 Oct 2021
Categorical Depth Distribution Network for Monocular 3D Object Detection
Categorical Depth Distribution Network for Monocular 3D Object Detection
Cody Reading
Ali Harakeh
Julia Chae
Steven L. Waslander
3DPC
208
475
0
01 Mar 2021
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural Networks
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Daniel Cremers
Laura Leal-Taixé
Ian Reid
SSL
46
15
0
30 Jan 2020
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