scholarly journals Collision target detection using a single antenna for automotive radar

2017 ◽  
Author(s):  
S. Abakar Issakha ◽  
F. Vincent ◽  
L. Ferro-Famil ◽  
F. Bodereau
Keyword(s):  
Target Detection ◽  
Automotive Radar ◽  
Single Antenna ◽  
Collision Target

Background classification method based on deep learning for intelligent automotive radar target detection

2019 ◽  
Vol 94 ◽  
pp. 524-535 ◽  
Author(s):  
Ningbo Liu ◽  
Yanan Xu ◽  
Yonghua Tian ◽  
Hongwei Ma ◽  
Shuliang Wen
Keyword(s):  
Deep Learning ◽  
Target Detection ◽  
Classification Method ◽  
Radar Target ◽  
Automotive Radar

A New Method of multi-target detection for FMCW Automotive Radar

2013 ◽  
Author(s):  
Yuanzhang Fan ◽  
Jianping An ◽  
Xiangyuan Bu ◽  
Kai Xiang
Keyword(s):  
Target Detection ◽  
New Method ◽  
Automotive Radar

2-D CFAR Procedure of Multiple Target Detection for Automotive Radar

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Sen Li ◽  
Xin Bi ◽  
Libo Huang ◽  
Bin Tan
Keyword(s):  
Target Detection ◽  
Multiple Target ◽  
Automotive Radar

scholarly journals Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation

2019 ◽  
Vol 8 (2) ◽  
pp. 80 ◽  
Author(s):  
Andrzej Stateczny ◽  
Witold Kazimierski ◽  
Paweł Burdziakowski ◽  
Weronika Motyl ◽  
Marta Wisniewska
Keyword(s):  
Target Detection ◽  
Autonomous Navigation ◽  
Three Dimensional ◽  
Heavy Rain ◽  
Alternative Methods ◽  
Automotive Radar ◽  
Floating Platform ◽  
Hand Detection ◽  
Autonomous Surface Vehicles ◽  
Autonomous Surface Vehicle

Autonomous surface vehicles (ASVs) are becoming more and more popular for performing hydrographic and navigational tasks. One of the key aspects of autonomous navigation is the need to avoid collisions with other objects, including shore structures. During a mission, an ASV should be able to automatically detect obstacles and perform suitable maneuvers. This situation also arises in near-coastal areas, where shore structures like berths or moored vessels can be encountered. On the other hand, detection of coastal structures may also be helpful for berthing operations. An ASV can be launched and moored automatically only if it can detect obstacles in its vicinity. One commonly used method for target detection by ASVs involves the use of laser rangefinders. The main disadvantage of this approach is that such systems perform poorly in conditions with bad visibility, such as in fog or heavy rain. Therefore, alternative methods need to be sought. An innovative approach to this task is presented in this paper, which describes the use of automotive three-dimensional radar on a floating platform. The goal of the study was to assess target detection possibilities based on a comparison with photogrammetric images obtained by an unmanned aerial vehicle (UAV). The scenarios considered focused on analyzing the possibility of detecting shore structures like berths, wooden jetties, and small houses, as well as natural objects like trees or other kinds of vegetation. The recording from the radar was integrated into a single complex radar image of shore targets. It was then compared with an orthophotomap prepared from AUV camera pictures, as well as with a map based on traditional land surveys. The possibility and accuracy of detection for various types of shore structure were statistically assessed. The results show good potential for the proposed approach—in general, objects can be detected using the radar—although there is a need for development of further signal processing algorithms.

2-D CFAR Procedure of Multiple Target Detection for Automotive Radar

2017 ◽  
Vol 11 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Sen Li ◽  
Xin Bi ◽  
Libo Huang ◽  
Bin Tan
Keyword(s):  
Target Detection ◽  
Multiple Target ◽  
Automotive Radar

An improved approach for multi-target detection and tracking in automotive radar systems

2016 ◽  
Author(s):  
Mohammed Khalil ◽  
Ahmed S. Eltrass ◽  
Omar Elzaafarany ◽  
Basem Galal ◽  
Khaled Walid ◽  
...  
Keyword(s):  
Target Detection ◽  
Automotive Radar ◽  
Detection And Tracking ◽  
Radar Systems

scholarly journals The Empirical Application of Automotive 3D Radar Sensor for Target Detection for an Autonomous Surface Vehicle’s Navigation

2019 ◽  
Vol 11 (10) ◽  
pp. 1156 ◽  
Author(s):  
Andrzej Stateczny ◽  
Witold Kazimierski ◽  
Daria Gronska-Sledz ◽  
Weronika Motyl
Keyword(s):  
Empirical Analysis ◽  
Target Detection ◽  
Future Development ◽  
Water Environment ◽  
Field Of View ◽  
Automotive Radar ◽  
Radar Sensor ◽  
Radar Sensors ◽  
Autonomous Surface Vehicles ◽  
Floating Objects

Avoiding collisions with other objects is one of the most basic safety tasks undertaken in the operation of floating vehicles. Addressing this challenge is essential, especially during unmanned vehicle navigation processes in autonomous missions. This paper provides an empirical analysis of the surface target detection possibilities in a water environment, which can be used for the future development of tracking and anti-collision systems for autonomous surface vehicles (ASV). The research focuses on identifying the detection ranges and the field of view for various surface targets. Typical objects that could be met in the water environment were analyzed, including a boat and floating objects. This study describes the challenges of implementing automotive radar sensors for anti-collision tasks in a water environment from the perspective of target detection with the application for small ASV performing tasks on the lake.

scholarly journals Single antenna target detection using broadband frequency selection time reversal method

2006 ◽  
Author(s):  
Yi Jiang ◽  
Jian-Gang Zhu ◽  
D.D. Stancil ◽  
J. Moura ◽  
A.G. Cepni ◽  
...  
Keyword(s):  
Target Detection ◽  
Time Reversal ◽  
Frequency Selection ◽  
Single Antenna ◽  
Broadband Frequency
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