Raphael V. Carneiro

Papers

Total Citations

H-Index

About

Raphael V. Carneiro is a prominent researcher in autonomous systems and intelligent transportation, with a particular focus on the safety, perception, and decision-making algorithms that underpin self-driving vehicle technology. His most-cited work, the comprehensive 2020 survey "Self-driving cars: A survey," has garnered 53 citations, establishing itself as a key reference for researchers and practitioners navigating the rapidly evolving landscape of autonomous driving. In this survey, Carneiro systematically maps the core challenges—from sensor fusion and localization to path planning and control—while critically evaluating the state-of-the-art in deep learning and reinforcement learning approaches. Beyond this landmark paper, his research contributions extend to developing robust frameworks for real-time obstacle detection and risk-aware navigation, directly addressing the critical gap between simulation and real-world deployment. Carneiro’s work is distinguished by its emphasis on practical, scalable solutions that bridge theoretical advances with engineering constraints, making him a valuable voice in the quest for safe and reliable autonomous mobility. His ongoing research continues to shape how next-generation vehicles perceive and interact with complex, dynamic environments.