[논문]생활도로에서의 충돌사고 예방을 위한 객체 충돌 감지 알고리즘 개발

서명국; 신희영; 정황훈; 채준성

doi:10.7839/ksfc.2022.19.3.023

생활도로에서의 충돌사고 예방을 위한 객체 충돌 감지 알고리즘 개발
Development of an Object Collision Detection Algorithm for Prevention of Collision Accidents on Living Roads 원문보기

드라이브ㆍ컨트롤 = Journal of drive and control, v.19 no.3, 2022년, pp.23 - 31

서명국 (Smart Engineering Lab. Korea Constructions Equipment Technology Institute) , 신희영 (Smart Engineering Lab. Korea Constructions Equipment Technology Institute) , 정황훈 (Smart Engineering Lab. Korea Constructions Equipment Technology Institute) , 채준성 (Pintel)

Abstract ▼ AI-Helper

Traffic safety issues have recently been seriously magnified, due to child deaths in apartment complexes and parking lots. Accordingly, traffic safety technologies are being developed to recognize dangerous situations on living roads and to provide warning services. In this study, a collision detection algorithm was developed to prevent collision accidents between moving objects, by using object type and location information provided from CCTV monitoring devices. To determine the exact collision between moving objects, an object movement model was developed to predict the range of movement by considering the moving characteristics of the object, and a collision detection algorithm was developed to efficiently analyze the presence and location of the collision. The developed object movement model as well as the collision detection algorithm were simulated, in a virtual space of an actual living road to verify performance and derive supplementary matters.

주제어

표/그림 (17)

그림 Fig. 1 Traffic safety Technology
그림 Fig. 2 Collision analysis and risk level
그림 Fig. 3 Pedestrian movement model using an ellipse
그림 Fig. 4 Acquisition of object data at living roads
그림 Fig. 5 Distribution of pedestrian position
그림 Fig. 6 A model of pedestrian movement using an ellipse
그림 Fig. 7 A model of pedestrian movement
그림 Fig. 8 Distribution of vehicle position
그림 Fig. 9 The movement range of the vehicle
그림 Fig. 10 Object overlap and collision
그림 Fig. 11 Analyze for object collisions
그림 Fig. 12 Set the collision area using an image.
그림 Fig. 13 Simulation at a university
그림 Fig. 14 Simulation result before calibration
그림 Fig. 15 Simulation result after calibration
그림 Fig. 16 Simulation at living roads
그림 Fig. 17 Simulation result at living roads

참고문헌 (16)

S. Y. Shin, "A Study on the Management and Improvement of Living Roads in Seoul," The Seoul Institute, 2020.
M. S. Kim, J. k. Oh, E. C. Kim and D. U. Keong, "Application of Traffic Conflict Decision Criteria for Signalized Intersections Using an Individual Vehicle Tracking Technique," Korean Society of Transportation, Vol.26, No.4, pp.173-184, 2008.
C. Oh, J. T. Oh, T. J. Kim and T. J. Song, "Advanced Freeway Traffic Safety Warning Information System based on Surrogate Safety Measures (SSM): Information Processing Methods," Korean Society of Transportation, Vol.27, No.3, pp.59-70, 2009.
C. Hyden, "The Development of a Method for Traffic Safety Evaluation: The Swedish Traffic Conflict Technique," Lund Institute of Technology, Dept. of Traffic Planning & Engineering, 1987.
M. Saffarzadeh, S. Naseralavi, N. Nadimi and A. R. Mamdoohi, "A general formulation for time-to-collision safety indicator," Proceedings of the Institution of Civil Engineers, Vol.166, pp.294-304, 2012.
K. S. Oh, S. Y. Park, J. H. Seo, G. H. Lee and K. S. Yi, "Laser-Scanner-based Stochastic and Predictive Working-Risk-Assessment Algorithm for Excavators," Journal of Drive and Control, Vol.13 No.4 pp.14-22, 2016.
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese, "Social LSTM: Human Trajectory Prediction in Crowded Spaces," In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
A. Vemula, K. Muelling and J. Oh, "Social Attention: Modeling Attention in Human Crowds," In 2018 IEEE International Conference on Robotics and Automation, pp.1-7, 2018.
I. H. Bae and H. G. Jeon, "Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction," The Thirty-Fifth AAAI Conference on Artificial Intelligence, Vol.35 No.2, 2021.
I. K. Choi, Y. H. Lee, H. Song, "Determining Whether to Enter a Hazardous Area Using Pedestrian Trajectory Prediction Techniques and Improving the Training of Small Models with Knowledge Distillation," Journal of the Korea Institute of Information and Communication Engineering, Vol.25, No.9, pp.1244-1253, 2021.
S. R. Perkins and J. I. Harris, "Traffic Conflict Characteristics-Accident Potential at Intersections," Highway Research Record, pp.35-43, 1968.
Y. J. Kim, J. S. Moon, Y. H. Jeong and K. S. Yi, "Longitudinal Motion Planning of Autonomous Vehicle for Pedestrian Collision Avoidance," Journal of Auto-Vehicle Safety Association, Vol.11, No.3, pp.37-42, 2019.
I. Hassani, I. Maalej and C. Rekik, "Advanced Mathematical Methods for Collaborative Robotics," Mathematical Problems in Engineering, Vol.2018, 2018.

상세보기
J. Yu, Y. Su and Y. Liao, "The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning," Frontiers in Neurorobotics, Vol.14, No.63, pp.1-12, 2020.
M. K. Seo, B. J. Yoon, H. Y. Shin and K. J. Lee, "Development of Human Detection Technology with Heterogeneous Sensors for use at Disaster Sites," Journal of Drive and Control, Vol.17, No.3 pp.1-8, 2020.
J. I. Lee, G. S. Gwak, K. S. Kim, W. Y. Kang, D. Y. Shin and S. H. Hwang, "Development of Virtual Simulator and Database for Deep Learning-based Object Detection," Journal of Drive and Control, Vol.18 No.4 pp.9-18, 2021.

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