Shounan An

Papers

Total Citations

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About

Shounan An is a researcher in robotics and autonomous systems, with a primary focus on simultaneous localization and mapping (SLAM). His key contributions lie in developing efficient and scalable solutions for pose-graph-based SLAM, a critical problem for robots operating in unknown environments. An’s most notable work, "Adaptive Sliding Window for hierarchical pose-graph-based SLAM" (2012), introduces an innovative approach that dynamically adjusts the size of the sliding window during incremental optimization. By intelligently eliminating portions of the graph that have converged, his method significantly reduces computational overhead while maintaining accuracy, addressing a fundamental challenge in long-term robotic navigation. This work has garnered 5 citations, reflecting its specialized impact within the SLAM community. An’s research advances the practical deployment of autonomous systems, enabling more efficient real-time mapping for applications ranging from service robots to autonomous vehicles. His contributions continue to influence hierarchical optimization techniques in robotics.