Search Results - "Shim, Inwook"

Curriculum Learning for Vehicle Lateral Stability Estimations by Bae, Jihwan, Kim, Taekyung, Lee, Wonsuk, Shim, Inwook

“…Precise estimations of the roll and sideslip angles of autonomous vehicles are essential for autonomous driving, which requires further information about the…”
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Robot System of DRC‐HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals by Lim, Jeongsoo, Lee, Inho, Shim, Inwook, Jung, Hyobin, Joe, Hyun Min, Bae, Hyoin, Sim, Okkee, Oh, Jaesung, Jung, Taejin, Shin, Seunghak, Joo, Kyungdon, Kim, Mingeuk, Lee, Kangkyu, Bok, Yunsu, Choi, Dong‐Geol, Cho, Buyoun, Kim, Sungwoo, Heo, Jungwoo, Kim, Inhyeok, Lee, Jungho, Kwon, In So, Oh, Jun‐Ho

“…This paper summarizes how Team KAIST prepared for the DARPA Robotics Challenge (DRC) Finals, especially in terms of the robot system and control strategy. To…”
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Parallel Recurrent Module With Inter-Layer Attention for Capturing Long-Range Feature Relationships by Kim, Eunseok, Bae, Jihwan, Shim, Inwook

“…Capturing long-range feature relationships is becoming a central issue with regard to convolutional neural networks (CNNs). In particular, several recent…”
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High-Fidelity Depth Upsampling Using the Self-Learning Framework by Shim, Inwook, Oh, Tae-Hyun, Kweon, In So

“…This paper presents a depth upsampling method that produces a high-fidelity dense depth map using a high-resolution RGB image and LiDAR sensor data. Our…”
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Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance by Bae, Jihwan, Seo, Junwon, Kim, Taekyung, Jeon, Hae-Gon, Kwak, Kiho, Shim, Inwook

“…Traversability estimation for mobile robots in off-road environments requires more than conventional semantic segmentation used in constrained environments…”
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MEXN: Multi-Stage Extraction Network for Patent Document Classification by Bai, Juho, Shim, Inwook, Park, Seog

“…The patent document has different content for each paragraph, and the length of the document is also very long. Moreover, patent documents are classified…”
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An Autonomous Driving System for Unknown Environments Using a Unified Map by Inwook Shim, Jongwon Choi, Seunghak Shin, Tae-Hyun Oh, Unghui Lee, Byungtae Ahn, Dong-Geol Choi, Shim, David Hyunchul, In So Kweon

“…Recently, there have been significant advances in self-driving cars, which will play key roles in future intelligent transportation systems. In order for these…”
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Geometry Guided Three-Dimensional Propagation for Depth From Small Motion by Shin, Seunghak, Im, Sunghoon, Shim, Inwook, Jeon, Hae-Gon, Kweon, In So

“…In this letter, we present an accurate Depth from Small Motion approach, which reconstructs three-dimensional (3-D) depth from image sequences with extremely…”
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Structure-From-Motion in 3D Space Using 2D Lidars by Choi, Dong-Geol, Bok, Yunsu, Kim, Jun-Sik, Shim, Inwook, Kweon, In So

“…This paper presents a novel structure-from-motion methodology using 2D lidars (Light Detection And Ranging). In 3D space, 2D lidars do not provide sufficient…”
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Urban structure classification using the 3D normal distribution transform for practical robot applications by Choe, Yungeun, Shim, Inwook, Chung, Myung Jin

“…Previous urban structure classification methods are intractable for practical robots in two viewpoints: storing point clouds and complex computation for using…”
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Auto-adjusting camera exposure for outdoor robotics using gradient information by Inwook Shim, Joon-Young Lee, In So Kweon

“…We present a new method to auto-adjust camera exposure for outdoor robotics. In outdoor environments, scene dynamic range may be wider than the dynamic range…”
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Object proposal using 3D point cloud for DRC-HUBO by Seunghak Shin, Inwook Shim, Jiyung Jung, Yunsu Bok, Jun-Ho Oh, In So Kweon

“…We present an object proposal method which utilizes the 3D data obtained from a depth sensor as well as the color information of images. Our object proposal…”
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Autonomous homing based on laser-camera fusion system by Dong-Geol Choi, Inwook Shim, Yunsu Bok, Tae Hyun Oh, In So Kweon

“…Building maps of unknown environments is a critical factor for autonomous navigation and homing, and this problem is especially challenging in large-scale…”
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Learning Off-Road Terrain Traversability with Self-Supervisions Only by Seo, Junwon, Sim, Sungdae, Shim, Inwook

“…Estimating the traversability of terrain should be reliable and accurate in diverse conditions for autonomous driving in off-road environments. However,…”
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EasyFuse: Easy-to-learn visible and infrared image fusion framework based on unpaired set by Ahn, Seongyong, Shim, Inwook, Min, Jihong, Yoon, Kuk-Jin

“…The major hurdle in building a visible and infrared fusion model is the necessity of large-scale pixel-aligned and time-synchronized image pairs. In this…”
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Geometry Guided Network for Point Cloud Registration by Min, Taewon, Kim, Eunseok, Shim, Inwook

“…Point cloud registration is a well-known way to align two different point clouds via a rigid transform estimation in robotics and computer vision applications…”
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ScaTE: A Scalable Framework for Self- Supervised Traversability Estimation in Unstructured Environments by Seo, Junwon, Kim, Taekyung, Kwak, Kiho, Min, Jihong, Shim, Inwook

“…For the safe and successful navigation of autonomous vehicles in unstructured environments, the traversability of terrain should vary based on the driving…”
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Distinctiveness oriented Positional Equilibrium for Point Cloud Registration by Min, Taewon, Song, Chonghyuk, Kim, Eunseok, Shim, Inwook

“…Recent state-of-the-art learning-based approaches to point cloud registration have largely been based on graph neural networks (GNN). However, these prominent…”
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Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms by Shim, Inwook, Oh, Tae-Hyun, Lee, Joon-Young, Choi, Jinwook, Choi, Dong-Geol, Kweon, In So

“…We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because…”
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Combinatorial approach for lane detection using image and LIDAR reflectance by Seunghak Shin, Inwook Shim, In So Kweon

“…Recently, lane detection algorithms have played significant roles in the field of vehicle technology. While many well working algorithms have been developed,…”
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