Timothy Kelliher
Papers
1
Total Citations
11
H-Index
1
About
Timothy Kelliher is a researcher at the forefront of autonomous vehicle systems, with a primary focus on developing robust, high-level control architectures for self-driving cars. His most-cited work, "Evolution of a Reliable and Extensible High-Level Control System for an Autonomous Car" (2019), addresses a critical challenge in the field: creating software frameworks that can reliably integrate data from diverse onboard sensors, execute complex navigational tasks like path planning and lane keeping, and enforce safety protocols in real time. By emphasizing reliability and extensibility, Kelliher’s contributions help bridge the gap between theoretical autonomy and practical, road-ready implementation. His research has garnered 11 citations, reflecting its relevance to engineers and academics working on autonomous vehicle software stacks. Kelliher’s work is particularly notable for its focus on the evolutionary design of control systems, ensuring that as sensor technology and algorithms advance, the underlying framework can adapt without compromising safety or performance. For students and researchers entering the field of autonomous driving, Kelliher’s research offers a foundational perspective on the software engineering challenges that underpin the next generation of intelligent vehicles.
Research Focus
Key Achievements
Top Papers
- 1