Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex Regions of Obstacle-Free Space
<|reference_start|>Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex Regions of Obstacle-Free Space: Convex polytopes have compact representations and exhibit convexity, which makes them suitable for abstracting obstacle-free spaces from various environments. Existing methods for generating convex polytopes always struggle to strike a balance between two requirements, producing high-quality polytope and efficiency. Moreover, another crucial requirement for convex polytopes to accurately contain certain seed point sets, such as a robot or a front-end path, is proposed in various tasks, which we refer to as manageability. In this paper, we show that we can achieve generation of high-quality convex polytope while ensuring both efficiency and manageability simultaneously, by introducing Fast Iterative Regional Inflation (FIRI).FIRI consists of two iteratively executed submodules: Restrictive Inflation (RsI) and computation of the Maximum Volume Inscribed Ellipsoid (MVIE) of convex polytope. By explicitly incorporating constraints that include the seed point set, RsI guarantees manageability. Meanwhile, the iterative monotonic optimization of MVIE, which serves as a lower bound of the volume of convex polytope, ensures high-quality results of FIRI. In terms of efficiency, we design methods tailored to the low-dimensional and multi-constrained nature of both modules, resulting in orders of magnitude improvement compared to generic solvers. Notably, for 2-D MVIE, we present a novel analytical algorithm that achieves linear-time complexity for the first time, further enhancing the efficiency of FIRI in the 2-D scenario. Extensive benchmarks conducted against state-of-the-art methods validate the superior performance of FIRI in terms of quality, manageability, and efficiency. Furthermore, various real-world applications showcase the generality and practicality of FIRI. The high-performance code of FIRI will be open-sourced for the reference of the community.<|reference_end|>
@article{wang2024fast,
    title={Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex
  Regions of Obstacle-Free Space},
    author={Qianhao Wang, Zhepei Wang, Mingyang Wang, Jialin Ji, Zhichao Han,
  Tianyue Wu, Rui Jin, Yuman Gao, Chao Xu, and Fei Gao},
    journal={arXiv preprint arXiv:2403.02977},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.02977},
    primaryClass={cs.RO}
}