• 제목/요약/키워드: collision processing

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Traffic Collision Detection at Intersections based on Motion Vector and Staying Period of Vehicles (차량의 움직임 벡터와 체류시간 기반의 교차로 추돌 검출)

  • Shin, Youn-Chul;Park, Joo-Heon;Lee, Myeong-Jin
    • Journal of Advanced Navigation Technology
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    • v.17 no.1
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    • pp.90-97
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    • 2013
  • Recently, intelligent transportation system based on image processing has been developed. In this paper, we propose a collision detection algorithm based on the analysis of motion vectors and the staying periods of vehicles in intersections. Objects in the region of interest are extracted from the subtraction image between background images based on Gaussian mixture model and input images. Collisions and traffic jams are detected by analysing measured motion vectors of vehicles and their staying periods in intersections. Experiments are performed on video sequences actually recoded at intersections. Correct detection rate and false alarm rate are 85.7% and 7.7%, respectively.

Development of Data Acquisition System to Obtain Vessel and Weather Information in Around Mokpo Harbor Bridge (목포대교 주변의 선박 항행 정보 및 기상 정보 획득 시스템 개발)

  • Yim, Jeong-Bin
    • Journal of Navigation and Port Research
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    • v.35 no.1
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    • pp.1-7
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    • 2011
  • This paper describes the development of Data Acquisition System (DAS) to obtain the vessel and weather information needing to evaluate collision risks levels between Mokpo harbor bridge and passing vessels. DAS consists of Signal Receiving and Processing Unit to obtain the data sets of passing vessels and weather status, Networking Unit to transmit and distribute the acquisition data sets and Data Management Unit. Through the field tests on the deck of shuttle car ferry between Mokpo Port Passenger Terminal and An-Jua island, Sinan-Gun, we found that the DAS can provide useful data sets for adequate the collision risk evaluation. In addition, the noise-like data sets appeared in the weather data can be suppressed fully using 5-th order Butterworth digital filter.

Safety analysis of marine nuclear reactor in severe accident with dynamic fault trees based on cut sequence method

  • Fang Zhao ;Shuliang Zou ;Shoulong Xu ;Junlong Wang;Tao Xu;Dewen Tang
    • Nuclear Engineering and Technology
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    • v.54 no.12
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    • pp.4560-4570
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    • 2022
  • Dynamic fault tree (DFT) and its related research methods have received extensive attention in safety analysis and reliability engineering. DFT can perform reliability modelling for systems with sequential correlation, resource sharing, and cold and hot spare parts. A technical modelling method of DFT is proposed for modelling ship collision accidents and loss-of-coolant accidents (LOCAs). Qualitative and quantitative analyses of DFT were carried out using the cutting sequence (CS)/extended cutting sequence (ECS) method. The results show nine types of dynamic fault failure modes in ship collision accidents, describing the fault propagation process of a dynamic system and reflect the dynamic changes of the entire accident system. The probability of a ship collision accident is 2.378 × 10-9 by using CS. This failure mode cannot be expressed by a combination of basic events within the same event frame after an LOCA occurs in a marine nuclear reactor because the system contains warm spare parts. Therefore, the probability of losing reactor control was calculated as 8.125 × 10-6 using the ECS. Compared with CS, ECS is more efficient considering expression and processing capabilities, and has a significant advantage considering cost.

An Enhanced Message Priority Mechanism in IEEE 802.11p Based Vehicular Networks

  • Liu, Chang;Chung, Sang-Hwa;Jeong, Han-You;Jung, Ik-Joo
    • Journal of Information Processing Systems
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    • v.11 no.3
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    • pp.465-482
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    • 2015
  • IEEE 802.11p is a standard MAC protocol for wireless access in vehicular environments (WAVEs). If a packet collision happens when a safety message is sent out, IEEE 802.11p chooses a random back-off counter value in a fixed-size contention window. However, depending on the random choice of back-off counter value, it is still possible that less important messages are sent out first while more important messages are delayed longer until sent out. In this paper, we present a new scheme for safety message scheduling, called the enhanced message priority mechanism (EMPM). It consists of the following two components: the benefit-value algorithm, which calculates the priority of the messages depending on the speed, deceleration, and message lifetime; and the back-off counter selection algorithm, which chooses the non-uniform back-off counter value in order to reduce the collision probability and to enhance the throughput of the highly beneficial messages. Numerical results show that the EMPM can significantly improve the throughput and delay of messages with high benefits when compared with existing MAC protocols. Consequently, the EMPM can provide better QoS support for the more important and urgent messages.

Collision Reduction Scheme based on Station Grouping in IEEE 802.11 Wireless LANs (IEEE 802.11 무선 랜에서 단말 그룹화를 통한 충돌 감소 방법)

  • Choi, Jun-Hyuk;Kim, Sunmyeng
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.393-395
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    • 2015
  • IEEE 802.11 무선 랜은 단말들 간의 채널을 공유하기 위해 CSMA/CA(Carrier Sense Multiple Access with Collision Avoidance) 기반의 DCF(Distributed Coordination Function) 프로토콜을 제공한다. DCF는 네트워크상의 단말수가 증가할수록 충돌 확률이 증가하여 전체적인 성능 감소를 야기한다. 이는 네트워크에 있는 모든 단말이 동시에 채널 경쟁을 하기 때문이다. 충돌 확률을 줄이고 성능을 향상시키기 위해 단말을 여러 그룹으로 나누고 각 그룹에 속하는 단말들간 채널 경쟁을 수행하는 가상 그룹 방법이 제안되었다. 그러나 가상 그룹 방법은 각 단말이 독립적으로 그룹 수를 결정하고 자신이 어느 그룹에 속해 동작할지 결정한다. 따라서 단말마다 서로 그룹 수가 다를 수 있고 단말이 하나도 포함되지 않은 그룹이 존재할 수 있다. 즉, 가상 그룹 방법은 단말간 공평성 문제가 있고 오동작 가능성이 있다. 이 문제를 해결하기 위해 본 논문에서는 비지톤과 타이머를 이용하여 단말간 동기화를 맞춰 그룹 수 및 자신의 그룹 번호를 독립적으로 결정하는 방법을 제안한다. 그룹 수는 현재 채널 경쟁 수준을 고려하여 결정한다. 단말들의 그룹화를 통해 충돌확률을 줄이고 네트워크 성능을 향상시킨다.

Collision Risk Assessment by using Hierarchical Clustering Method and Real-time Data (계층 클러스터링과 실시간 데이터를 이용한 충돌위험평가)

  • Vu, Dang-Thai;Jeong, Jae-Yong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.4
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    • pp.483-491
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    • 2021
  • The identification of regional collision risks in water areas is significant for the safety of navigation. This paper introduces a new method of collision risk assessment that incorporates a clustering method based on the distance factor - hierarchical clustering - and uses real-time data in case of several surrounding vessels, group methodology and preliminary assessment to classify vessels and evaluate the basis of collision risk evaluation (called HCAAP processing). The vessels are clustered using the hierarchical program to obtain clusters of encounter vessels and are combined with the preliminary assessment to filter relatively safe vessels. Subsequently, the distance at the closest point of approach (DCPA) and time to the closest point of approach (TCPA) between encounter vessels within each cluster are calculated to obtain the relation and comparison with the collision risk index (CRI). The mathematical relationship of CRI for each cluster of encounter vessels with DCPA and TCPA is constructed using a negative exponential function. Operators can easily evaluate the safety of all vessels navigating in the defined area using the calculated CRI. Therefore, this framework can improve the safety and security of vessel traffic transportation and reduce the loss of life and property. To illustrate the effectiveness of the framework proposed, an experimental case study was conducted within the coastal waters of Mokpo, Korea. The results demonstrated that the framework was effective and efficient in detecting and ranking collision risk indexes between encounter vessels within each cluster, which allowed an automatic risk prioritization of encounter vessels for further investigation by operators.

Collision Cause-Providing Ratio Prediction Model Using Natural Language Processing Analytics (자연어 처리 기법을 활용한 충돌사고 원인 제공 비율 예측 모델 개발)

  • Ik-Hyun Youn;Hyeinn Park;Chang-Hee, Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.1
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    • pp.82-88
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    • 2024
  • As the modern maritime industry rapidly progresses through technological advancements, data processing technology is emphasized as a key driver of this development. Natural language processing is a technology that enables machines to understand and process human language. Through this methodology, we aim to develop a model that predicts the proportions of outcomes when entering new written judgments by analyzing the rulings of the Marine Safety Tribunal and learning the cause-providing ratios of previously adjudicated ship collisions. The model calculated the cause-providing ratios of the accident using the navigation applied at the time of the accident and the weight of key keywords that affect the cause-providing ratios. Through this, the accuracy of the developed model could be analyzed, the practical applicability of the model could be reviewed, and it could be used to prevent the recurrence of collisions and resolve disputes between parties involved in marine accidents.

Path Planning for Autonomous Navigation of a Driverless Ground Vehicle Based on Waypoints (무인운전차량의 자율주행을 위한 경로점 기반 경로계획)

  • Song, Gwang-Yul;Lee, Joon-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.2
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    • pp.211-217
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    • 2014
  • This paper addresses an algorithm of path planning for autonomous driving of a ground vehicle in waypoint navigation. The proposed algorithm is flexible in utilization under a large GPS positioning error and generates collision-free multiple paths while pursuing minimum traveling time. An optimal path reduces inefficient steering by minimizing lateral changes in generated waypoints along a path. Simulation results compare the proposed algorithm with the A* algorithm by manipulation of the steering wheel and traveling time, and show that the proposed algorithm realizes real-time obstacle avoidance by quick processing of path generation, and minimum time traveling by producing paths with small lateral changes while overcoming the very irregular positioning error from the GPS.

A Study on Technique of Fighting Game Producing and Game Algorithm (격투게임 제작 기법과 알고리즘에 관한 연구)

  • Joo, Jung-Kyu
    • Journal of Korea Game Society
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    • v.2 no.1
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    • pp.69-76
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    • 2002
  • This paper describes basic producing techniques of fighting game, collision detection between fighters, fighting skill, thinking routine and processing method of enemy characters, and algorithm structure of fighting game. Also, I studied as for algorithm of the template and strategy methods of design pattern class applied to a fighting game.

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OBSERVATION OF IMPACT SITES OF SHOEMAKER-LEVY 9 COMET (슈메이커-레비 9 혜성의 목성 충돌관측)

  • Lee, Si-Woo;Kim, Seung-Ri;Seong, Hwan-Gyeong;Pyo, Tae-Su
    • Publications of The Korean Astronomical Society
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    • v.10 no.1
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    • pp.1-14
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    • 1995
  • We observed impact spots on Jupiter which were formed by the collision with fragments of Shoemaker-Levy 9 comet during the period from 17 July to 13 August, by using the SNU 61cm reflector combined with CCD camera and DBVRI filters. In order to get more clear image of impact spots, the observed data were processed by the unsharp masking method, high-pass filtering method and Richardson-Lucy algorithm after the basic processing through IRAF package. The sizes of impact spots range from 2000km to 1000km, and from this size, the original size of comet fragments before collision with Jupiter is estimated to be less than ${\sim}3km$. From the observed rotating rate of impact spots, the rotational period of Jupiter is determined as $9^h$ $56^m$ $32^s$ at the southern latitude of $47^{\circ}{\sim}49^{\circ}$.

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