Zobrazeno 1 - 10
of 11 197
pro vyhledávání: '"Shim, D"'
This paper introduces an innovative application of foundation models, enabling Unmanned Ground Vehicles (UGVs) equipped with an RGB-D camera to navigate to designated destinations based on human language instructions. Unlike learning-based methods, t
Externí odkaz:
http://arxiv.org/abs/2410.10577
Existing exploration algorithms mainly generate frontiers using random sampling or motion primitive methods within a specific sensor range or search space. However, frontiers generated within constrained spaces lead to back-and-forth maneuvers in lar
Externí odkaz:
http://arxiv.org/abs/2309.08397
Publikováno v:
IEEE Transactions on Intelligent Vehicles(2024)
This paper introduces an approach that enhances the state estimator for high-speed autonomous race cars, addressing challenges from unreliable measurements, localization failures, and computing resource management. The proposed robust localization sy
Externí odkaz:
http://arxiv.org/abs/2308.07173
In recent years, deep-learning-based point cloud registration methods have shown significant promise. Furthermore, learning-based 3D detectors have demonstrated their effectiveness in encoding semantic information from LiDAR data. In this paper, we i
Externí odkaz:
http://arxiv.org/abs/2307.11998
The ability of robots to navigate through doors is crucial for their effective operation in indoor environments. Consequently, extensive research has been conducted to develop robots capable of opening specific doors. However, the diverse combination
Externí odkaz:
http://arxiv.org/abs/2307.04422
Recently, numerous studies have investigated cooperative traffic systems using the communication among vehicle-to-everything (V2X). Unfortunately, when multiple autonomous vehicles are deployed while exposed to communication failure, there might be a
Externí odkaz:
http://arxiv.org/abs/2210.17302
This paper describes a resilient navigation and planning system used in the Indy Autonomous Challenge (IAC) competition. The IAC is a competition where full-scale race cars run autonomously on Indianapolis Motor Speedway(IMS) up to 290 km/h (180 mph)
Externí odkaz:
http://arxiv.org/abs/2207.12232
Akademický článek
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Akademický článek
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Autor:
Kim J; Department of Biology Education, Korea National University of Education, Cheongju, Republic of Korea., Woo Sung Y; Department of Biology Education, IALS, Gyeongsang National University, Jinju, Republic of Korea; Division of Applied Life Science (BK21 Plus), Gyeongsang National University, Jinju, Republic of Korea., Yang JW; Department of Crop Cultivation & Environment, Research National Institute of Crop Science, RDA, Suwon, Republic of Korea., Jung Nam K; Department of Biology Education, IALS, Gyeongsang National University, Jinju, Republic of Korea., Lee KL; Department of Biology Education, IALS, Gyeongsang National University, Jinju, Republic of Korea., Shim D; Department of Biological Sciences, Chungnam National University, Daejeon, Republic of Korea. Electronic address: dshim104@cnu.ac.kr., Kim YH; Department of Biology Education, IALS, Gyeongsang National University, Jinju, Republic of Korea. Electronic address: cefle@gnu.ac.kr.
Publikováno v:
Gene [Gene] 2024 Dec 30; Vol. 931, pp. 148895. Date of Electronic Publication: 2024 Aug 24.
