J
Junsoo Kim
Researcher at Hanyang University
Publications - 42
Citations - 854
Junsoo Kim is an academic researcher from Hanyang University. The author has contributed to research in topics: Computer science & Motion planning. The author has an hindex of 11, co-authored 26 publications receiving 624 citations. Previous affiliations of Junsoo Kim include Hyundai Motor Group & Hyundai Motor Company.
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Journal ArticleDOI
Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture
TL;DR: The advantages of a distributed system architecture and the proposed development process are examined by conducting a case study on the autonomous system implementation by showing the implementation process of an autonomous driving system.
Journal ArticleDOI
Development of Autonomous Car—Part I: Distributed System Architecture and Development Process
TL;DR: The development process provides the guidelines to design and develop the distributed system of an autonomous vehicle, and a system platform is presented, which provides a common development environment by minimizing the dependence between the software and the computing hardware.
Journal ArticleDOI
Tracking and Behavior Reasoning of Moving Vehicles Based on Roadway Geometry Constraints
TL;DR: A unified vehicle tracking and behavior reasoning algorithm that can simultaneously estimate the vehicle dynamic state and driver intentions and provides sufficient accuracy and reliability for automated vehicles and ADAS applications is presented.
Proceedings ArticleDOI
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
ByeoungDo Kim,Seong Hyeon Park,Seokhwan Lee,Elbek Khoshimjonov,Dongsuk Kum,Junsoo Kim,Jeong Soo Kim,Jun Won Choi +7 more
TL;DR: In this paper, a lane-aware prediction (LaPred) network is proposed to predict the future motion of a dynamic agent given its current and past states as well as the information on its environment.
Journal ArticleDOI
Real-time path planning of autonomous vehicles for unstructured road navigation
TL;DR: A path planning algorithm for autonomous vehicles to generate feasible and smooth maneuvers in unstructured environments by using a graph-based search algorithm and a discrete kinematic vehicle model to find a primitive path that is non-holonomic, collision-free, and safe.