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Off-the-shelf sensor vs. experimental radar -- How much resolution is
  necessary in automotive radar classification?

Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?

9 June 2020
Nicolas Scheiner
Ole Schumann
Florian Kraus
N. Appenrodt
J. Dickmann
Bernhard Sick
ArXivPDFHTML

Papers citing "Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?"

5 / 5 papers shown
Title
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
Shanliang Yao
Runwei Guan
Zitian Peng
Chenhang Xu
Yilu Shi
...
Hyungjoon Seo
Ka Lok Man
Jieming Ma
Xiaohui Zhu
Yutao Yue
58
5
0
08 Dec 2023
Online Learning-based Waveform Selection for Improved Vehicle
  Recognition in Automotive Radar
Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar
C. Thornton
William W. Howard
R. M. Buehrer
19
1
0
01 Dec 2022
Self-Supervised Velocity Estimation for Automotive Radar Object
  Detection Networks
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
D. Niederlöhner
Michael Ulrich
Sascha Braun
Daniel Kohler
F. Faion
Claudius Gläser
André Treptow
H. Blume
50
9
0
07 Jul 2022
Improved Orientation Estimation and Detection with Hybrid Object
  Detection Networks for Automotive Radar
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
Michael Ulrich
Sascha Braun
Daniel Kohler
D. Niederlöhner
F. Faion
Claudius Gläser
H. Blume
21
42
0
03 May 2022
Deep Instance Segmentation with Automotive Radar Detection Points
Deep Instance Segmentation with Automotive Radar Detection Points
Jianan Liu
Weiyi Xiong
Liping Bai
Yu Xia
Tao Huang
Wanli Ouyang
Bing Zhu
54
53
0
05 Oct 2021
1