Douglas Henke dos Reis
Papers
3
Total Citations
121
H-Index
3
About
Douglas Henke dos Reis is a researcher specializing in computer vision, mobile robotics, and deep learning-based object detection. His work focuses on integrating real-time object recognition algorithms with RGB-D sensors to enable autonomous navigation for mobile robots. His most influential contribution, "Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm" (2019), has garnered 90 citations, demonstrating its impact on the field. In this study, Reis leveraged the YOLO algorithm alongside a Microsoft Kinect sensor and an Nvidia Jetson TX2 GPU to identify static obstacles and estimate their distances, providing a practical vision system for robotic path planning. He further advanced the field by comparing YOLOv3 and SSD MobileNet v2 algorithms for indoor robotics datasets (2021, 21 citations), offering valuable insights into algorithm selection for efficient object detection. His work is notable for its emphasis on real-time performance and hardware-optimized solutions, making it highly relevant for students and researchers developing low-cost, vision-based robotic systems. Reis’s contributions continue to influence the integration of deep learning in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3