Craig Brogle
Papers
2
Total Citations
47
H-Index
2
About
Craig Brogle is a researcher advancing the frontier of autonomous vehicle technology, with a focus on simulation and control systems. His work addresses two critical pillars of self-driving car development: creating robust testing environments and ensuring reliable high-level software architectures. Brogle’s most cited paper, "Hardware-in-the-Loop Autonomous Driving Simulation Without Real-Time Constraints" (2019, 36 citations), introduces a novel simulation framework that enables rapid, low-risk testing of autonomous systems by emulating sensors like cameras and LiDAR without the burden of real-time constraints. This approach accelerates development cycles while maintaining fidelity. In his complementary work, "Evolution of a Reliable and Extensible High-Level Control System for an Autonomous Car" (2019, 11 citations), Brogle tackles the challenge of software reliability, designing an extensible control system that integrates multi-sensor data, path planning, and safety-critical actions. Together, these contributions provide foundational tools for safer, more efficient autonomous driving research. Brogle’s impact is evident in the adoption of his simulation and control methodologies, which offer practical solutions for researchers and engineers navigating the complexities of real-world autonomous deployment.
Research Focus
Key Achievements
Top Papers
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