44 citations · 63 across the 6 of their papers we have counts for
6 papers
Online Time-Informed Kinodynamic Motion Planning of Nonlinear Systems
Fei Meng, Jianbang Liu, Haojie Shi +3
Sampling-based kinodynamic motion planners (SKMPs) are powerful in finding collision-free trajectories for high-dimensional systems under differential constraints. Time-informed se…
Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images
Fan Bai, Xiaohan Xing, Yutian Shen +2
Weakly supervised methods, such as class activation maps (CAM) based, have been applied to achieve bleeding segmentation with low annotation efforts in Wireless Capsule Endoscopy (…
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments
Fei Meng, Liangliang Chen, Han Ma +2
Balancing the trade-off between safety and efficiency is of significant importance for path planning under uncertainty. Many risk-aware path planners have been developed to explici…
BiAIT*: Symmetrical Bidirectional Optimal Path Planning with Adaptive Heuristic
Chenming Li, Han Ma, Peng Xu +2
Adaptively Informed Trees (AIT*) is an algorithm that uses the problem-specific heuristic to avoid unnecessary searches, which significantly improves its performance, especially wh…
Enhance Connectivity of Promising Regions for Sampling-based Path Planning
Han Ma, Chenming Li, Jianbang Liu +2
Sampling-based path planning algorithms usually implement uniform sampling methods to search the state space. However, uniform sampling may lead to unnecessary exploration in many…
Relevant Region Sampling Strategy with Adaptive Heuristic for Asymptotically Optimal Path Planning
Chenming Li, Fei Meng, Han Ma +2
Sampling-based planning algorithm is a powerful tool for solving planning problems in high-dimensional state spaces. In this article, we present a novel approach to sampling in the…