ESVO

Achieves real-time odometry on modern multi-core CPUs, with optimizations allowing up to 200 fps on embedded systems like Jetson TX2, as noted in the project logs.

Uses a geometric approach with Time Surfaces to process raw event data directly, avoiding frame-based intermediates and enabling low-latency motion estimation for dynamic scenes.

Leverages stereo camera geometry for accurate 3D reconstruction and depth estimation, supported by a dedicated multi-view stereo module for mapping with known poses.

Based on peer-reviewed publications from top venues like IEEE T-RO and ECCV, ensuring robust and validated methods for event-based visual odometry.