Bastien Vincke
Papers
10
Total Citations
122
H-Index
8
About
Bastien Vincke is a researcher specializing in embedded systems, robotics, and autonomous navigation, with a particular focus on Simultaneous Localization and Mapping (SLAM). His work addresses one of the most computationally demanding challenges in autonomous robotics: enabling robots to build maps of unknown environments while simultaneously tracking their own position, all within the constraints of low-cost, real-time embedded hardware. Vincke's most significant contributions lie in optimizing SLAM algorithms for multicore and heterogeneous processor architectures. His research on EKF-SLAM and graph-based SLAM implementations demonstrates how parallelization strategies—including SIMD instructions and OpenMP frameworks—can dramatically reduce computational complexity without sacrificing accuracy. His most cited work (2012, 24 citations) pioneered a systems-level approach to real-time SLAM on multiprocessor embedded platforms, a direction complemented by subsequent studies on OMAP processors and heterogeneous architectures. Beyond classical SLAM, Vincke has explored guaranteed localization through interval analysis and contributed to belief function theory through conflict decomposition work. With over 120 cumulative citations across his publications, his research bridges the gap between theoretical SLAM development and practical deployment on affordable robotic hardware, making autonomous navigation more accessible to real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Efficient implementation of EKF-SLAM on a multi-core embedded system19 citations · 2012
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- 5Design and evaluation of an embedded system based SLAM applications13 citations · 2010
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- 8SIMD and OpenMP optimization of EKF-SLAM8 citations · 2014
- 9Efficient implementation of the graph-based SLAM on an OMAP processor3 citations · 2014
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