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Dual-Module Data Fusion of Infrared and Radar for Track Before Detect
2012
Journal of Computers
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The proposed method is applied to simulate track before detect in dual module system of infrared and radar. ...
A track before detect method based on data fusion of infrared and radar is proposed to increase the probability of correct track initiation and shorten initiation time. ...
Reference [4] analyzes a dynamic programming based track before detect algorithm. ...
doi:10.4304/jcp.7.12.2861-2867
fatcat:jhazju5o7bcghiaclxdhftij24
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking
[article]
2021
arXiv
pre-print
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In this work, we propose an end-to-end network for joint object detection and tracking based on radar and camera sensor fusion. ...
3D multi-object tracking is a crucial component in the perception system of autonomous driving vehicles. ...
RESULTS Given the similarity of the tracking algorithms in CFTrack and CenterTrack, these results demonstrate the effect of utilizing radar data in both detection and tracking stages. ...
arXiv:2107.05150v1
fatcat:xdrb2npzyrayjk3y4fw44vg3gu
A Cluster-Based Weighted Feature Similarity Moving Target Tracking Algorithm for Automotive FMCW Radar
[article]
2021
arXiv
pre-print
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We studied a target tracking algorithm based on millimeter-wave (MMW) radar in an autonomous driving environment. ...
Aiming at the cluster matching in the target tracking stage, a new weighted feature similarity algorithm is proposed, which increases the matching rate of the same target in adjacent frames under strong ...
Li, “A Graph-Based Track-Before-
Detect Algorithm for Automotive Radar Target Detection,” IEEE ...
arXiv:2112.06388v1
fatcat:aslweitnyfe5doabljlmhkvl6i
Developing an On-Road Object Detection System Using Monovision and Radar Fusion
2019
Energies
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Density-based spatial clustering of applications with noise and particle filter algorithms are used in the radar-based object detection system to remove non-object noise and track the target object. ...
Meanwhile, the two-stage vision recognition system can detect and recognize the objects in front of a vehicle. The detected objects include pedestrians, motorcycles, and cars. ...
Radar-Based Object Detection A 24 GHz short-range radar was adopted for front-end environment detection and a multi-object tracking method based on radar was proposed. ...
doi:10.3390/en13010116
fatcat:3x36h324jzeb3bgmm4zrvzf55e
Multi-frame track-before-detect algorithm for disambiguation
2019
The Journal of Engineering
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While multi-frame track-before-detect (MF-TBD) is an advantageous method to track weak targets, but it fails to be applied in multiple PRF radar system directly. ...
In this study, two algorithms based on MF-TBD are proposed. ...
Acknowledgments This work was supported in part by the Chang Jiang Scholar Program, the 111 Project No. ...
doi:10.1049/joe.2019.0761
fatcat:ldfyh6pbczbfdmtxhx2iv4bfpm
Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion
2020
International Journal of Fuzzy Systems
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In this paper, a fuzzy logic-based multi-sensor data fusion algorithm for moving target ships detection has been proposed and designed using both AIS and radar information. ...
It is therefore vital to use multiple sensors together with a multi-sensor data fusion technology to improve the detection performance. ...
The Atlantic Centre for the innovative design and Control of Small Ships (ACCeSS) is an ONR-NNRNE programme with Grant no. ...
doi:10.1007/s40815-020-00963-1
fatcat:rqohm5cm3rhi5keo5h3eksbutm
An efficient multi‐sensor fusion and tracking protocol in a vehicle‐road collaborative system
2021
IET Communications
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To fully use the history information and the multi-source heterogeneous sensing data to improve the reliability of multi-sensor fusion, a Bayesian-based two-layer fusion scheme is further proposed. ...
In this paper, an efficient and applicable multi-sensor fusion protocol for a vehicle-road collaborative system is proposed where roadside units (RSUs) are equipped with cameras and radars. ...
information to improve reliability, we propose a Bayesian-based two-layer fusion scheme. ...
doi:10.1049/cmu2.12273
fatcat:4udefaoekrf4nk4e2cuziri6am
Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition
2019
Science China Information Sciences
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Integrated detection and tracking algorithm A traditional radar system is split into two independent subsystems-target detection and target tracking [63] -which are implemented in series. ...
In recent efforts, the tracking algorithm based on NP detection has been improved and the joint optimization of detection and tracking has been considered [70] . ...
doi:10.1007/s11432-018-9811-0
fatcat:cf4a5itojfbh3er7etind6msdu
MMW Radar-Based Technologies in Autonomous Driving: A Review
2020
Sensors
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The objective of this study is to present an overview of the state-of-the-art radar-based technologies applied In AVs. ...
For high-level automated driving, radar data is used In object detection, object tracking, motion prediction, and self-localization. ...
Compared with the two-stage target detection network, single-stage detection is faster, but the accuracy is lower. ...
doi:10.3390/s20247283
pmid:33353016
fatcat:qk665dciafepfgkmnldgtknxtq
Interpersonal Distance Tracking with mmWave Radar and IMUs
[article]
2023
arXiv
pre-print
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In a broader sense, ImmTrack is the first system that fuses data from millimeter wave radar and inertial measurement units for simultaneous user tracking and re-identification. ...
By matching the movement traces reconstructed from the radar and inertial data, the pseudo identities of the inertial data can be transferred to the radar sensing results in the global coordinate system ...
Then, the Hungarian algorithm associates the same user's clusters in two consecutive frames based on feature similarity, achieving multiuser inter-frame tracking. ...
arXiv:2303.12798v1
fatcat:ncu7cnteuzg25nxpezb7deb3um
Cognitive Radar
[chapter]
2007
Knowledge-Based Radar Detection, Tracking, and Classification
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Simon Haykin, Editor-in-Chief of the Wiley Science Series on Remote Sensing, for encouraging us to publish this book as an outgrowth of the special section on knowledge-based systems for adaptive radar ...
Mercy Kowalczyk of the IEEE Signal Processing Society for her promptness in processing the requests from authors of articles in the Signal Processing Magazine for permission to re-use their work in this ...
As an illustrative case study along the way, we consider the radar surveillance problem. Knowledge-Based Radar Detection, Tracking, and Classification. ...
doi:10.1002/9780470283158.ch2
fatcat:ze6qhcyczrcqdjx2aporuuer5m
Development of Vehicle Speed Estimation Technique using Image Processing
2020
International Journal of Engineering Research and
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This paper proposed a novel computer vision-based automated system for multi-vehicle detection, tracking, and estimation of vehicle speed in a video sequence by using image processing. ...
In this proposed system, detected vehicles tracked by using the vehicle's frame coordinates. Finally, speed is estimated using the number of frames and frame rate. ...
The multi-vehicles are detected by the gradient edge detection and normal cross correlation algorithm. Further, these detected vehicles are tracked using a two frame difference algorithm. ...
doi:10.17577/ijertv9is090187
fatcat:psaonkwbmvf5vp7cswjp3j3wwe
A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment
2021
Energies
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The system is then deployed on embedded hardware and experimentally validated on a test track. ...
This paper proposes a Forward Collision Warning System (FCW) based on information coming from a low cost forward monocular camera for low end electric vehicles. ...
Object Detection There are two main kinds of algorithms to tackle object detection via computer vision tasks: Feature-based and learning-based. ...
doi:10.3390/en14164872
fatcat:3px3fln6prgc7cuuzdiapkmwam
A Joint Allocation Method of Multi-Jammer Cooperative Jamming Resources Based on Suppression Effectiveness
2023
Mathematics
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A joint optimization allocation method of multi-jammer beam-power based on the improved artificial bee colony (IABC) algorithm is proposed. ...
Compared to the GWO, SCA, BBO and ABC algorithms, the jamming resource allocation scheme obtained by the proposed IABC algorithm makes the radar detection probability lower. ...
Acknowledgments: The authors are very grateful of the referees for their valuable remarks, which improved the presentation of the paper. ...
doi:10.3390/math11040826
fatcat:zvvxi5e5qvbvfdow2ppjrmkska
Radar SLAM: A Robust SLAM System for All Weather Conditions
[article]
2021
arXiv
pre-print
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We propose a full radar SLAM system, including a novel radar motion tracking algorithm that leverages radar geometry for reliable feature tracking. ...
The results show that our system is technically viable in achieving reliable SLAM in extreme weather conditions, e.g. heavy snow and dense fog, demonstrating the promising potential of using radar for ...
In the next sections, we propose an optimization based motion tracking algorithm and a graph SLAM system to handle these challenges.
IV. ...
arXiv:2104.05347v1
fatcat:zsyaq6himnh5tcglypaotefimy
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