Vinicius B. Cardoso

Papers

Total Citations

125

H-Index

About

Vinicius B. Cardoso is a leading researcher in autonomous driving systems, with a primary focus on perception and decision-making for self-driving cars. His work bridges deep learning and real-world navigation, most notably through his development of a traffic light recognition system that combines convolutional neural networks with prior map data. This approach, detailed in his highly cited 2019 paper (72 citations), addresses a critical challenge for autonomous vehicles: distinguishing relevant traffic lights from irrelevant ones in complex urban environments. Cardoso's contributions have helped advance the reliability of perception modules in self-driving technology. He also co-authored a comprehensive 2020 survey on autonomous vehicles (53 citations), which synthesizes the state of the art in sensing, localization, planning, and control. This survey has become a key reference for researchers and students entering the field. Cardoso's work is characterized by its practical, systems-level perspective, emphasizing how deep learning models can be integrated with prior knowledge to improve safety and robustness. His research continues to influence the development of perception systems for autonomous cars operating in mixed-traffic scenarios.