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Muhammad Ahmed Humais

4 accepted papers

2026

Efficient Joint Estimation of Optical Flow and Stereo Disparity With Event Cameras

RA-L 2026

Optical flow and stereo disparity, both are fundamental in the perception pipeline of robotic systems, enabling 3D understanding and motion estimation of the robot itself and the dynamic objects around. In this context, event cameras offer great potential to reduce latency and improve the efficiency

Cited by 0SourcecodeScholar
2026

Learning 6D Object Pose Estimation With Event Cameras Using Synthetic Data and Domain Randomization

RA-L 2026

Estimating the 6D pose of rigid objects is a critical upstream task in many robotics applications. Most existing methods rely on RGB or RGB-D sensing modalities, which suffer from limitations under challenging lighting conditions and high-speed motion. In contrast, event-based cameras offer unique a

Cited by 0SourceScholar
2026

Learning 6D Object Pose Estimation with Event Cameras Using Synthetic Data and Domain Randomization

ICRA 2026poster

Estimating the 6D pose of rigid objects is a critical upstream task in many robotics applications. Most existing methods rely on RGB or RGB-D sensing modalities, which suffer from limitations under challenging lighting conditions and high-speed motion. In contrast, event-based cameras offer unique a…

Cited by 0SourceScholar
2024

VisTune: Auto-Tuner for UAVs Using Vision-Based Localization

RA-L 2024

This letter presents VisTune, a method for automatic controller tuning specifically designed for UAVs using vision-based localization (VBL) for position control. In contrast to existing methods that involve manually flying the UAV to collect data for system identification and tuning, our approach le

Cited by 2SourceScholar