Markus Lienkamp

Papers

Total Citations

H-Index

About

Markus Lienkamp is a leading figure in autonomous vehicle research, with a focus on the intersection of robotics, artificial intelligence, and human-machine interaction. His work primarily advances the fields of autonomous driving, particularly in high-speed scenarios and heavy-duty vehicles. A key contribution is his exploration of autonomous racing, where he applies simultaneous localization and mapping (SLAM) to enable vehicles to navigate and compete at high speeds, addressing critical challenges in real-time environmental perception and uncertainty management. This work, published in 2019, has garnered 12 citations, highlighting its foundational role in pushing the boundaries of autonomous control. Lienkamp also investigates the integration of personal assistant technologies into truck driving, as seen in his 2019 study on co-driver systems. This research assesses how AI-driven assistants can enhance driver safety and efficiency, earning 3 citations for its practical implications in commercial transport. Through these contributions, Lienkamp demonstrates a commitment to both the technical and human-centric aspects of autonomous systems, making his work influential for students and researchers in robotics and automotive engineering.