Youngwon Jeon (Undergraduate Student)
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Undergraduate Student (B.S), Embedded System-on-Chip Integrator |
Repository Commit History
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Introduction
Full Bio Sketch
Mr. Jeon is currently doing his undergraduate degree in Electronics Engineering at Kyungpook National University, Daegu, Republic of Korea. His research interests pathfinding algorithm derived from A* search algorithm. He designed Obstacle-Aware Adaptive A* Algorithm for search time reduction. He is pursuing his research to apply this algorithm to autonomous vehicle with multi-object situation.
Research Topic
Obstacle-Aware Adaptive A-Star Algorithm for Search Time Reduction (ASTAR)
Obstacle-Aware Adaptive A* Algorithm is a search algorithm based on A*.
Ordinary A* is an informed search algorithm using a weighted graph, allocating weight f(n) to every nodes(f(n) = g(n) + h(n), g(n) is cost from start to the node, h(n) is estimated cost from the node to goal, searching lowest cost nodes and continuing until search the goal node.
Obstacle-Aware Adaptive A* reduces g(n) of nodes if the node be near walls, because actual shortest paths tend to be near walls, so that algorithm prefers nodes near walls. In random map, the algorithm tends to take little loss in effectiveness of path's cost, drastically save time if g(n) is properly reduced.
Publications
Journal Publication (KCI 1)
Youngwon Jeon and Daejin Park. Self Organizing Automotive Flow Control for Large-Scaled Collaborative Congestion Mitigation (KCI) Journal of the Korea Institute of Information and Communication Engineering, 2024.
Conference Publications (Intl. 2)
Youngwon Jeon and Daejin Park. Self-Organizing Movement Control for Large-Scaled Autonomous Vehicle Collision Congestion Mitigation In IEEE Vehicular Networking Conference (VNC), 2024.
Youngwon Jeon and Daejin Park. Efficient Optimal Path-Planning for Congestion Mitigation in Large-Scaled Autonomous Driving In IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2024), 2024.
Participation in International Conference
IEEE VNC 2024, Kobe, Japan
IEEE ISPACS 2024, Taipei, Taiwan
Last Updated, 2024.10.12
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