• Title/Summary/Keyword: Track Association

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Performance of Track Formation of a Two-Stage Cascaded Logic in a Cluttered Environment (클러터가 존재하는 환경에서 2단계 접속 논리의 트랙생성에 대한 성능 분석)

  • 임창헌
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.32 no.1
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    • pp.92-99
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    • 1996
  • 2단계 접속 논리(two-stage cascaded logic)는 관측 지역 내에 새로이 출현한 표적에 대한 트랙을 만드는 대표적인 방법중의 하나이다. 2단계 접속 논리의 트랙 생성 (track formation)에 관한 성능 평가 방법 및 결과는 Bar-Schalom에 의해 발표된 바가 있으나, 그 연구 결과는 트랙 생성 성능을 도출할 때 클러터로 인한 오경보율(false alarm probability)을 무시한다는 가정에 기초한 것이기 때문에, 오경보율이 높은 경우에는 적용 할 수 없다는 단점을 지닌다. 이에 본 논문에서는 오경보율을 고려하여 2단계 접속 논리의 트랙 생성 성능을 평가 할 수 있는 개선된 방법을 제시하고자 한다. 그리고 2단계 접속 논리에서 사용하는 데이터 연관(data association)기법으로 트랙 분리(track splitting)기법과 최 근접 데이터 선택 기법(nearest neighbor rule)을 사용하는 경우에 대하여 각각의 성능 평가 결과를 몇 가지 예시하고자 한다.

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Robust Detection and Tracking for a High-speed and Small Approaching Target in Clutter (클러터 환경에 강인한 고속/소형의 접근 표적 탐지/추적)

  • Kim, Ji-Eun;Noh, Chang-Kyun;Lee, Boo-Hwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.4
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    • pp.676-683
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    • 2011
  • In this paper, we propose a robust method which can detect and track a high-speed small approaching target in a cluttered environment for Korean Active Protection System. The proposed method uses a temporal and spatial filter, tracking filter to detect and track a single target in consecutive order. And it is comprised of a candidate target detection step, a prior target selection step and a target tracking. Field tests on real infrared image sequences show that the proposed method could stably track a high speed and small target in complex background and target occlusion.

A Study of LM-IHPDA Algorithm for Multi-Target Tracking in Infrared Image Sequences (적외선 영상에서 다수표적추적을 위한 LM-IHPDA 알고리듬 연구)

  • Kim, Tae Han;Choi, Byung In;Kim, Ji Eun;Yang, Yu Kyung;Song, Taek Lyul
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.3
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    • pp.209-218
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    • 2013
  • Military surveillance systems with electro-optical sensors can be used to track a number of targets efficiently and reliably. In MTT (Multi-Target Tracking), joint events in which different tracks share the same measurements may occur. Measurement-to-track assignment are computationally challenging because of the number of operations increases exponentially with number of tracks and number of measurements. IHPDA (Integrated Highest Probability Data Association) based on a 2D-Assignment technique can find an optimal solution for measurement to track one-to-one assignments for complex environments. In this paper, LM-IHPDA (Linear Multi-Target IHPDA) which does not need to form all feasible joint events of association and thus the computational load is linear in the number of tracks and the number of measurements. Simulation studies illustrate the effectiveness of this approach in an infrared image environment.

A Study on The Comparative Characteristics of Track-Guided Bus System (궤도버스시스템 특성비교연구)

  • 임성빈;지길룡
    • Journal of the Korean Professional Engineers Association
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    • v.30 no.4
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    • pp.88-98
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    • 1997
  • For Improving gradually inferior environment of public transportation system, it is necessary to introduce new transit System(NTS). NTS is defined as automated economicm system for it's operation . The Track Guided Bus System (TGBS) is one of the NTS, which is possible operating on the track or road surface and the system has actually many advantages. This study was concentrated on investigating the characteristics of TGBS, comparing to the other public transportation system and appraising the advantages of it on the benefit of the passenger side as well as investor, and then suggested applicable routes. As the result of the study, it is concluded that the advantage of this system is less transfering and initial low investment. Applicable route is the demand of passengers in the range of PPHPD 5,000~39,600, which is more than bus but not more than subway.

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Location-based System for Tracking Similar Trajectories Using Hybrid Method (하이브리드 기법을 이용한 LBS기반의 유사궤적 추적시스템)

  • Han, Kyoung-Bok;Kwon, Hoon;Lee, Hye-Sun;Kwak, Ho-Young
    • The Journal of the Korea Contents Association
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    • v.7 no.6
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    • pp.9-21
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    • 2007
  • In this paper, the hybrid methods are suggested, which use the direction angle information to present running trajectory and track the past locations through a small amount of vehicle's location information. In order to prove the effectiveness of the new technique suggested here, vehicle's location information are collected by running the vehicles moving objects under various conditions. Using the location informations and direction angle information collected with time intervals, the vehicl e's location information is abstracted, compared and analyzed. and I have proved that the suggested techniques are more effective by comparing them with others in various methods such as GPS TrackMaker, difference image techniques, consistency comparison, quantity comparison, vehicle's running distances and so on.

Vision and Lidar Sensor Fusion for VRU Classification and Tracking in the Urban Environment (카메라-라이다 센서 융합을 통한 VRU 분류 및 추적 알고리즘 개발)

  • Kim, Yujin;Lee, Hojun;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.4
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    • pp.7-13
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    • 2021
  • This paper presents an vulnerable road user (VRU) classification and tracking algorithm using vision and LiDAR sensor fusion method for urban autonomous driving. The classification and tracking for vulnerable road users such as pedestrian, bicycle, and motorcycle are essential for autonomous driving in complex urban environments. In this paper, a real-time object image detection algorithm called Yolo and object tracking algorithm from LiDAR point cloud are fused in the high level. The proposed algorithm consists of four parts. First, the object bounding boxes on the pixel coordinate, which is obtained from YOLO, are transformed into the local coordinate of subject vehicle using the homography matrix. Second, a LiDAR point cloud is clustered based on Euclidean distance and the clusters are associated using GNN. In addition, the states of clusters including position, heading angle, velocity and acceleration information are estimated using geometric model free approach (GMFA) in real-time. Finally, the each LiDAR track is matched with a vision track using angle information of transformed vision track and assigned a classification id. The proposed fusion algorithm is evaluated via real vehicle test in the urban environment.

Developments of monitoring system to measure sound absorbing coefficient and structural stability of sound absorbing panel on the concrete track in the urban train tunnel (도시철도 터널 내부 콘크리트 도상 국소공명흡음판의 흡음계수 및 구조안정성 평가를 위한 계측시스템 개발)

  • Oh, Soon-Taek;Lee, Dong-Jun;Lee, Dong-Hoon
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.19 no.1
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    • pp.1-9
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    • 2017
  • In this study, a test-bed system simulated a tunnel and concrete track is tested on cite and invested an allowed limit of multi-layered sound absorbing panel for reducing noise reflected on the concrete track in train tunnel considering the criteria and limitation on the theoretical back ground. The studied results are an effective evaluating system of the sound absorbing coefficient influenced fluid effects depending on the vehicle speed in the urban train tunnel and measuring not only structural behaviors of maximum displacement and acceleration of the panel but also dynamic characteristics of damping ratio and natural frequency.

A study on the estimation of the optimal number of monitoring points in single-track tunnel lining with the inverse analysis program (역해석 프로그램에 의한 단선터널 라이닝의 최적 계측 측점수 산정 연구)

  • Woo, Jong-Tae
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.16 no.1
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    • pp.1-11
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    • 2014
  • In order to determine the optimal number of monitoring points in single-track tunnel lining, this thesis compares and evaluates the results of two cases: when the tunnel lining is modeled into a simple beam form and then is applied to 1) the tunnel lining inverse analysis program, and to 2) the commercially-used program. The displacement and stress of specific tunnel lining cross-sections are determined by entering the load conditions into the commercially-used program for tunnel interpretations. In doing so, two cases were assumed: where a symmetrically-distributed load was acting upon the tunnel lining of a single-track tunnel and where an asymmetrically-distributed load was in action. By comparing the computed displacement with the stress and displacement determined by entering side numbers 3, 5, and 7 into the tunnel lining inverse analysis program, the optimal number of monitoring points is determined. From the results of the research, it can be inferred that the number of monitoring points needs to be at least 5 points, considering the efficiency of monitoring in practice and the loss-and-damage rate of tunnel monitoring.