Výsledky vyhledávání - "Taek-Lim Kim"

Akademický článek

Reinforcement Learning and Genetic Algorithm-Based Network Module for Camera-LiDAR Detection

Publikováno v: Remote Sensing, Vol 16, Iss 13, p 2287 (2024)

Cameras and LiDAR sensors have been used in sensor fusion for robust object detection in autonomous driving. Object detection networks for autonomous driving are often trained again by adding or changing datasets aimed at robust performance. Repeat t

Externí odkaz: https://doaj.org/article/2368314e9ba44198b7352d1c7ef3455f

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Akademický článek

Adaptive Feature Attention Module for Robust Visual–LiDAR Fusion-Based Object Detection in Adverse Weather Conditions

Autor: Taek-Lim Kim, Saba Arshad, Tae-Hyoung Park

Publikováno v: Remote Sensing, Vol 15, Iss 16, p 3992 (2023)

Object detection is one of the vital components used for autonomous navigation in dynamic environments. Camera and lidar sensors have been widely used for efficient object detection by mobile robots. However, they suffer from adverse weather conditio

Externí odkaz: https://doaj.org/article/aca85d545b7d42b7815618fd7c99f9ef

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Akademický článek

Camera-LiDAR Fusion Method with Feature Switch Layer for Object Detection Networks

Autor: Taek-Lim Kim, Tae-Hyoung Park

Publikováno v: Sensors, Vol 22, Iss 19, p 7163 (2022)

Object detection is an important factor in the autonomous driving industry. Object detection for autonomous vehicles requires robust results, because various situations and environments must be considered. A sensor fusion method is used to implement

Externí odkaz: https://doaj.org/article/7f15592dcd234ab4a296ca4e4797fefa

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Extended Kalman Filter (EKF) Design for Vehicle Position Tracking Using Reliability Function of Radar and Lidar

Autor: Taek-Lim Kim, Tae-Hyoung Park

Publikováno v: Sensors, Vol 20, Iss 4126, p 4126 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 15

Detection and distance measurement using sensors is not always accurate. Sensor fusion makes up for this shortcoming by reducing inaccuracies. This study, therefore, proposes an extended Kalman filter (EKF) that reflects the distance characteristics

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::322d14c044e7cb92d6f4198637111ea4
https://www.mdpi.com/1424-8220/20/15/4126

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Fusing Lidar, Radar, and Camera Using Extended Kalman Filter for Estimating the Forward Position of Vehicles

Autor: Taek-Lim Kim, Jae-Seol Lee, Tae-Hyoung Park

Publikováno v: CIS/RAM

As radar and lidar sensors’ precision varies with distance, this paper proposes an extended Kalman filter that reflects the precision of the sensors as the distance changes. Majority of previous studies did not consider the measurement errors of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7e23ce58ab550bb8fd65ec47d7957ce
https://doi.org/10.1109/cis-ram47153.2019.9095859

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27.3: Fully Addressable, Self-Assembled Microcavity Plasma Arrays: Improved Luminous Efficacy by Controlling Device Geometry

Autor: Sung-Jin Park, Graham Heimberg, Edgar W. Xie, Taek Lim Kim, J. Gary Eden, J.K. Yoon, Kwang Soo Kim

Publikováno v: SID Symposium Digest of Technical Papers. 39:382

Addressable, self-assembled Al electrodes enclosed by Al2O3 have been fabricated by wet chemical processes. Square 4″ × 4″ panels comprising two electrodes having microcavities with a diameter of 50–150 μm are formed by precisely controlled e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28aadbf2a10f6582fd0d1e57921710b2
https://doi.org/10.1889/1.3069676

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