The single robot line coverage problem: Theory, algorithms, and experiments
The single robot line coverage problem: Theory, algorithms, and experiments
复制标题
单机器人线路覆盖问题:理论、算法和实验
DOI:
10.1002/net.22171
复制
发表时间:
2023
期刊:
影响因子:
2.1
通讯作者:
Akella, Srinivas
中科院分区:
文献类型:
--
作者:
Agarwal, Saurav;Akella, Srinivas
Line coverage is the task of servicing a given set of one‐dimensional features in an environment. It is important for the inspection of linear infrastructure such as road networks, power lines, and oil and gas pipelines. This paper addresses the single robot line coverage problem for aerial and ground robots by modeling it as an optimization problem on a graph. The problem belongs to the broad class of arc routing problems and is closely related to the rural postman problem (RPP) on asymmetric graphs. The paper presents an integer linear programming formulation with proofs of correctness. Using the minimum cost flow problem, we develop approximation algorithms with guarantees on the solution quality. These guarantees also improve the existing results for the asymmetric RPP. The main algorithm partitions the problem into three cases based on the structure of therequired graph, that is, the graph induced by the features that require servicing. We evaluate our algorithms on road networks from the 50 most populous cities in the world, consisting of up to 730 road segments. The algorithms, augmented with improvement heuristics, run within 3 s and generate solutions that are within 10% of the optimum. We experimentally demonstrate our algorithms with commercial UAVs on the UNC Charlotte campus road network.
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DOI:
10.1145/3188745.3188824
发表时间:
2018
期刊:
--
影响因子:
--
作者:
Svensson O
通讯作者:
Svensson O
影响因子:
2.1
作者:
R. van Bevern;C. Komusiewicz;und M. Sorge
通讯作者:
und M. Sorge
影响因子:
2.1
作者:
Vangelis Th. Paschos;Orestis Telelis;V. Zissimopoulos
通讯作者:
Vangelis Th. Paschos;Orestis Telelis;V. Zissimopoulos
DOI:
10.1137/s0895480197331454
发表时间:
1999
期刊:
SIAM J. Discret. Math.
影响因子:
--
作者:
B. Raghavachari;J. Veerasamy
通讯作者:
J. Veerasamy
DOI:
10.1007/978-3-030-66723-8_32
发表时间:
2021
期刊:
Algorithmic Foundations of Robotics XIV (WAFR 2020
影响因子:
--
作者:
Agarwal, Saurav;Akella, Srinivas
通讯作者:
Akella, Srinivas