An AUV localization and path planning algorithm for terrain-aided navigation
Related Experiment Video
Updated: Dec 23, 2025

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
Published on: March 27, 2013
Ma Teng1, Li Ye1, Zhao Yuxin2
1Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 150001, China.
Abstract:
Terrain-aided navigation (TAN) holds high potential for long-term accurate navigation of autonomous underwater vehicles (AUVs), and path planning algorithms are essential in TAN to decrease positioning errors by avoiding flat areas. This study proposed an AUV localization and path planning algorithm for TAN, which consists of a value function calculation and online path planning. In the value function calculation, the topographic complexity is treated as a factor that influences AUV state transition probabilities to calculate the optimal policy; meanwhile, the online path planning applies a particle filter to localize and command AUVs, and particle weights are calculated according to topographic complexity. Simulation experimental results demonstrate that this algorithm could provide paths with accurate TAN location results and good maneuvering performance.
More Related Videos
06:17Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
Published on: January 26, 2024
10:25Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
Published on: September 2, 2025
Related Concept Videos
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
Field Application of Global Positioning System
Topographic Surveying and Contours
Methods of Obtaining Topography
Types of Global Positioning System Surveys
Introduction to Global Positioning System