Odometry Estimation

Odometry estimation aims to determine the movement of a robot or vehicle by tracking its changes in position and orientation over time, crucial for autonomous navigation and mapping. Current research emphasizes robust solutions across diverse sensor modalities (LiDAR, cameras, IMUs, radar), often integrating multiple sensor data through tightly-coupled fusion techniques and employing advanced algorithms like factor graph optimization, neural network-based kinematic model learning, and direct methods for improved accuracy and real-time performance. These advancements are significantly impacting robotics, autonomous driving, and other fields requiring precise localization and motion tracking in challenging environments.