Thiago Oliveira-Santos
Papers
9
Total Citations
1,055
H-Index
7
About
Thiago Oliveira-Santos is a leading researcher in autonomous systems, computer vision, and deep learning, with a particular focus on enabling self-driving cars to perceive and navigate complex environments. His most influential work, "Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order" (2016), has garnered 798 citations, establishing a foundational approach for training deep networks under data scarcity. Oliveira-Santos has made significant contributions to autonomous vehicle perception, including traffic light recognition using deep learning and prior maps (72 citations), and large-scale mapping with autonomous cars (86 citations). He also authored a comprehensive survey on self-driving cars (2020, 53 citations), providing a valuable resource for the field. His research extends to image-based global localization using weightless neural networks and motion planning for car-like robots, demonstrating a systematic approach to solving core challenges in autonomous navigation. Through his work on sequential appearance-based localization and neural network-based simulation of robotic cars, Oliveira-Santos has advanced the integration of deep learning with traditional robotics, making him a key figure in the development of practical, real-world autonomous driving systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Large-scale mapping in complex field scenarios using an autonomous car86 citations · 2015
- 3
- 4Self-driving cars: A survey53 citations · 2020
- 5
- 6A Motion Planner for Car-Like Robots Based on Rapidly-Exploring Random Trees12 citations · 2014
- 7Image-based global localization using VG-RAM Weightless Neural Networks8 citations · 2014
- 8Simulating robotic cars using time-delay neural networks7 citations · 2016
- 9