Unmanned Supermarket Navigation
Shenzhen Stability Support Project – robust navigation in dynamic supermarkets
Overview
This project develops an unmanned supermarket navigation system capable of operating reliably in highly dynamic, cluttered retail environments.
Role
- Algorithm Engineer
Funding Source
- Shenzhen Stability Support Project
Contributions
- Implemented a Visual-Inertial Odometry (VIO) algorithm tailored to dynamic supermarket scenes with moving customers, trolleys, and changing layouts.
- Built a multi-sensor fusion framework, combining 2D LiDAR, occupancy grids, and visual-inertial measurements to achieve robust localization and mapping.
- Addressed challenging factors such as dynamic obstacles and lighting variations, improving navigation stability and safety in real deployments.
Techniques & Tools
- Visual-Inertial Odometry (VIO)
- 2D LiDAR and occupancy grid mapping
- Multi-sensor fusion for robust navigation