Zobrazeno 1 - 10
of 477
pro vyhledávání: '"Qin, Jiahu"'
This paper presents a novel weakly supervised semantic segmentation method for radar segmentation, where the existing LiDAR semantic segmentation models are employed to generate semantic labels, which then serve as supervision signals for training a
Externí odkaz:
http://arxiv.org/abs/2409.18434
The role of a motion planner is pivotal in quadrotor applications, yet existing methods often struggle to adapt to complex environments, limiting their ability to achieve fast, safe, and robust flight. In this letter, we introduce a performance-enhan
Externí odkaz:
http://arxiv.org/abs/2403.12865
For real-world navigation, it is important to endow robots with the capabilities to navigate safely and efficiently in a complex environment with both dynamic and non-convex static obstacles. However, achieving path-finding in non-convex complex envi
Externí odkaz:
http://arxiv.org/abs/2306.10477
This paper proposes a novel distributed coverage controller for a multi-agent system with constant-speed unicycle robots (CSUR). The work is motivated by the limitation of the conventional method that does not ensure the satisfaction of hard state- a
Externí odkaz:
http://arxiv.org/abs/2304.05723
This paper investigates the problem of securing exponentially fast consensus (exponential consensus for short) for identical agents with finite-dimensional linear system dynamics over dynamic network topology. Our aim is to find the weakest possible
Externí odkaz:
http://arxiv.org/abs/2303.00155
Publikováno v:
In Journal of the Franklin Institute September 2024 361(13)
Publikováno v:
In Knowledge-Based Systems 8 July 2024 295
Publikováno v:
In Control Engineering Practice June 2024 147