Research

SLAM Algorithms based on Particle Filters and Kalman Filters

Multi-Robot SLAM / Map Merging Algorithms

LIDAR-based SLAM / Scan Matching Algorithms

Visual SLAM

SLAM with Infrared Features


Path Planning

Autonomous Parking with Reinforcement Learning

Dynamic Obstacle Avoidance with Inverse Reinforcement Learning

Multi-Sensor Fusion

Object Recognition and Localization


GPU-based Acceleartion of Convex Optimization

GPU-based Acceleartion of Sampling-based Optimization (MCO, PSO)

GPU-based Acceleartion of Particle Filtering

FPGA-based Acceleartion of Convex Optimization

FPGA-based Acceleartion of Sampling-based Optimization (MCO, PSO)

FPGA-based Acceleartion of Particle Filtering


Autonomous Parking with Reinforcement Learning

Dynamic Obstacle Avoidance with Inverse Reinforcement Learning

End-to-End Deep Learning for Visual Navigation

Scan Matching with CNN

Anomaly Detection with CNN

Head Pose Estimation with CNN

Routing Algorithm with Reinforcement Learning for Low-Earth Orbit (LEO) Satellites