Wandi Susanto
Papers
1
Total Citations
37
H-Index
1
About
Wandi Susanto is a researcher whose work sits at the intersection of computer vision and 3D sensing, with a particular focus on accessible, multi-sensor systems for object detection. His most influential contribution, the 2012 paper "3D Object Detection with Multiple Kinects," has garnered 37 citations and remains a foundational reference for researchers exploring low-cost, multi-camera 3D reconstruction. In this work, Susanto demonstrated how to fuse data from multiple Microsoft Kinect sensors to achieve robust, real-time 3D object detection—a significant step toward democratizing 3D vision technology before the widespread availability of expensive LiDAR systems. By tackling challenges like sensor calibration, point cloud registration, and occlusion handling, Susanto’s research provided a practical blueprint for using commodity hardware in advanced perception tasks. His work has influenced subsequent studies in robotics, augmented reality, and indoor mapping, where cost-effective 3D sensing is critical. Susanto’s contributions highlight a commitment to making sophisticated 3D vision techniques more accessible, bridging the gap between academic research and real-world applications.
Research Focus
Key Achievements
Top Papers
- 13D Object Detection with Multiple Kinects37 citations · 2012