Gerardo Carrera

Imperial College London, Universidad Nacional Autónoma de México

Papers

Total Citations

146

H-Index

About

Gerardo Carrera is a leading researcher in mobile robotics, with a primary focus on sensor calibration, simultaneous localization and mapping (SLAM), and multi-camera systems for autonomous navigation. His most influential work, the 2011 paper "SLAM-based automatic extrinsic calibration of a multi-camera rig," has garnered 128 citations and introduced a groundbreaking method for automatically calibrating multiple cameras on a robotic platform. By leveraging SLAM techniques, Carrera eliminated the need for manual calibration targets, enabling robots to achieve wide-field-of-view perception essential for responsive navigation and robust relocalization in dynamic environments. This contribution has been pivotal in advancing autonomous systems that rely on visual sensors for real-time mapping and obstacle avoidance. Earlier, Carrera developed the ViRbot system (2008), a framework for operating mobile robots that laid foundational work for integrating perception and control. His research has directly impacted fields such as autonomous driving, service robotics, and industrial inspection, where precise sensor alignment and reliable spatial awareness are critical. Carrera’s work continues to inspire new approaches to self-calibrating robotic systems, making him a key figure in the evolution of intelligent autonomous navigation.