C. Knoeppel

Papers

Total Citations

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About

C. Knoeppel is a researcher whose work sits at the intersection of computer vision, embedded systems, and autonomous robotics. Their most cited contribution, "Real-time vehicle and lane detection with embedded hardware" (2005, 21 citations), addresses a critical challenge in the field: enabling real-time environmental perception for driver assistance and autonomous systems using resource-constrained hardware. Knoeppel’s key innovation lies in applying a hardware-software co-design approach to generate depth maps and detect vehicles and lane markings simultaneously, demonstrating that complex stereo vision algorithms can be efficiently implemented on embedded platforms without sacrificing performance. This work has been foundational for subsequent developments in on-board perception systems, particularly for autonomous robots and advanced driver assistance systems (ADAS). By bridging the gap between algorithmic complexity and real-time hardware constraints, Knoeppel’s research has helped pave the way for more practical, deployable autonomous systems. Their contributions continue to influence engineers and researchers working to bring robust computer vision capabilities to embedded and mobile platforms.