Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Jung, Minwoo"'
Accuracy evaluation of a 3D pointcloud map is crucial for the development of autonomous driving systems. In this work, we propose a user-independent software/hardware system that can quantitatively evaluate the accuracy of a 3D pointcloud map acquire
Externí odkaz:
http://arxiv.org/abs/2408.09727
Place recognition, an essential challenge in computer vision and robotics, involves identifying previously visited locations. Despite algorithmic progress, challenges related to appearance change persist, with existing datasets often focusing on seas
Externí odkaz:
http://arxiv.org/abs/2407.03684
Robust 3D object detection is a core challenge for autonomous mobile systems in field robotics. To tackle this issue, many researchers have demonstrated improvements in 3D object detection performance in datasets. However, real-world urban scenarios
Externí odkaz:
http://arxiv.org/abs/2404.13852
The integration of sensor data is crucial in the field of robotics to take full advantage of the various sensors employed. One critical aspect of this integration is determining the extrinsic calibration parameters, such as the relative transformatio
Externí odkaz:
http://arxiv.org/abs/2403.18358
Publikováno v:
IEEE Robotics and Automation Letter, 9-2 (2024) 1684-1691
Maritime radars are prevalently adopted to capture the vessel's omnidirectional data as imagery. Nevertheless, inherent challenges persist with marine radars, including limited frequency, suboptimal resolution, and indeterminate detections. Additiona
Externí odkaz:
http://arxiv.org/abs/2403.02773
Odometry is crucial for robot navigation, particularly in situations where global positioning methods like global positioning system (GPS) are unavailable. The main goal of odometry is to predict the robot's motion and accurately determine its curren
Externí odkaz:
http://arxiv.org/abs/2312.17487
Interferometers and beam splitters are fundamental building blocks for photonic neuromorphic and quantum computing machinery. In waveguide-based photonic integrated circuits, beam-splitting is achieved with directional couplers that rely on transitio
Externí odkaz:
http://arxiv.org/abs/2311.18272
Place recognition is crucial for robot localization and loop closure in simultaneous localization and mapping (SLAM). Light Detection and Ranging (LiDAR), known for its robust sensing capabilities and measurement consistency even in varying illuminat
Externí odkaz:
http://arxiv.org/abs/2309.14590
Autor:
Kim, Jeongyun, Jeon, Myung-Hwan, Jung, Sangwoo, Yang, Wooseong, Jung, Minwoo, Shin, Jaeho, Kim, Ayoung
Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties, not being well perceived from RGB or depth cameras. Overcoming this limi
Externí odkaz:
http://arxiv.org/abs/2307.05016
Due to the robustness in sensing, radar has been highlighted, overcoming harsh weather conditions such as fog and heavy snow. In this paper, we present a novel radar-only place recognition that measures the similarity score by utilizing Radon-transfo
Externí odkaz:
http://arxiv.org/abs/2307.04321