Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Dongsik Chang"'
Autor:
Eunyoung Kim, Dongsik Chang
Publikováno v:
Innovation Enterprise Research. 7:103-120
An Active Perception Framework for Autonomous Underwater Vehicle Navigation Under Sensor Constraints
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:2301-2316
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:2377-2390
Autor:
Dongsik Chang, Ying Wang
Publikováno v:
Korea Association for International Commerce and Information. 22:87-113
Publikováno v:
ICRA
Accurate flow predictions are critical for energy-optimal path planning of AUVs with endurance requirements. However, the complex dynamics of ocean currents make it difficult to achieve accurate flow predictions. For an AUV with flow and location sen
The goal of motion tomography is to recover a description of a vector flow field using measurements along the trajectory of a sensing unit. In this paper, we develop a predictor corrector algorithm designed to recover vector flow fields from trajecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::112dd872518093aa694b10f65eefe234
http://arxiv.org/abs/2101.02677
http://arxiv.org/abs/2101.02677
Publikováno v:
ACC
Energy efficiency is crucial for autonomous underwater vehicles (AUVs) with limited on-board energy resources. In this paper, we study the energy-optimal control problem for an AUV to follow a planned reference in ocean currents. The objective of ref
Publikováno v:
ACC
Mid-water localization is challenging for autonomous underwater vehicles (AUVs) due to limited communications and geo-referencing capabilities in the underwater environment, coupled with unknown complex and dynamic surroundings. Existing solutions ty
Autor:
DongSik Chang
Publikováno v:
법과정책. 24:299-324
Publikováno v:
The International Journal of Robotics Research. 36:320-336
Since the motion of autonomous underwater vehicles is affected by ambient flow, knowledge of an environmental flow field can be used to improve the navigation of autonomous underwater vehicles. Due to imperfect knowledge of flow, the actual trajector