Diego Gomes
Papers
3
Total Citations
34
H-Index
3
About
Diego Gomes is a researcher focused on intelligent transportation systems, with key contributions in autonomous vehicle navigation and cooperative driving technologies. His work centers on computer vision for lateral vehicle localization, particularly through lane detection and estimation using perspective images—a method that simplifies data manipulation compared to traditional bird's-eye view techniques. His most cited paper, "Lane Detection and Estimation using Perspective Image" (2014), has garnered 18 citations and addresses critical challenges in autonomous vehicle control. Gomes also advances cooperative vehicle systems, developing simulation platforms to study multi-vehicle communication and traffic efficiency. His 2014 paper on simulation platforms for cooperative systems (12 citations) and 2015 work on multi-vehicle communication frameworks (4 citations) explore solutions to road accidents and urban congestion, tackling safety, cost, and feasibility barriers in real-world experiments. Through these efforts, Gomes contributes foundational tools for safer, more efficient autonomous and cooperative driving systems.
Research Focus
Key Achievements
Top Papers
- 1Lane Detection and Estimation using Perspective Image18 citations · 2014
- 2Simulation platform for cooperative vehicle systems12 citations · 2014
- 3A Simulation Framework for Multi-Vehicle Communication4 citations · 2015