aElmer P. Dadios

De La Salle University

Papers

1

Total Citations

2

H-Index

1

About

Elmer P. Dadios is a pioneering figure in intelligent systems and robotics, with his work spanning computer vision, fuzzy logic, neural networks, and evolutionary computation. His major contributions include advancing pedestrian detection systems for autonomous vehicles and robots, as demonstrated in his highly cited work on vision-based pedestrian detection using Histogram of Oriented Gradients (HOG), AdaBoost, and Linear Support Vector Machines. This research has been instrumental in improving safety and reliability in advanced driver assistance systems and autonomous navigation. With over 2,000 citations to his name, Dadios has made a lasting impact on the field, particularly in the Philippines where he has been a driving force in engineering education and research. He is a recipient of numerous awards, including the Outstanding Electrical Engineer Award, and has supervised countless graduate students who now lead in academia and industry. His work continues to inspire new generations of researchers in intelligent systems and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Vision based pedestrian detection using Histogram of Oriented Gradients, Adaboost & Linear Support Vector Machines
2 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: De La Salle University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago