Papers
5
Total Citations
35
H-Index
3
About
David Augusto Ribeiro is a researcher whose work sits at the intersection of computer vision, deep learning, and human-robot interaction, with a particular focus on making robots safer and more intelligent in human-populated environments. His most significant contributions center on Human-Aware Navigation (HAN), where he has developed innovative real-time pedestrian detection systems that enable robots to perceive, track, and respond to people in their surroundings. His 2016 paper, which introduced a novel deep learning-based person detection framework combined with multi-camera sensing and a standardized model of personal space, stands as his most cited work with 16 citations, reflecting its influence in the robotics and computer vision communities. He followed this with refined approaches in 2017 and 2018, where he combined Aggregate Channel Features detectors with deep Convolutional Neural Networks to achieve faster and more robust pedestrian detection. Beyond robotics, Ribeiro has also explored medical visualization technologies, contributing research on holographic and stereovision displays and their implications for patient safety in robotic surgery. Collectively, his work demonstrates a consistent commitment to bridging advanced perception systems with practical, safety-conscious real-world applications.
Research Focus
Key Achievements
Top Papers
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- 3A real-time Deep Learning pedestrian detector for robot navigation5 citations · 2017
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