Olivier Strauss

About

Olivier Strauss is a leading researcher in robotics and sensor fusion, with a focus on developing robust perception systems for autonomous mobile robots. His work centers on multi-sensor calibration, localization, and data fusion, particularly integrating laser rangefinders with monocular vision to enhance robot navigation in indoor environments. A key contribution is his novel calibration method for laser rangefinder/camera systems (89 citations), which enables precise alignment of data from disparate sensors, a foundational technique for reliable feature extraction and localization. Strauss also introduced the Guess filter, an innovative approach that combines three error theories (e.g., fuzzy, probabilistic, and possibilistic) to improve noisy measurement fusion, as demonstrated in his early work (1996). More recently, he has expanded into agricultural robotics, co-authoring a high-impact paper on a robot-assisted imaging pipeline for tracking maize ear and silk growth (109 citations), which addresses drought tolerance phenotyping—a major challenge in crop science. His contributions to interval-valued operators (e.g., MACSUM) and benchmarks for autonomous flying robots (FLYBO) further underscore his versatility. With over 200 citations across his most-cited works, Strauss’s research continues to influence both industrial robotics and precision agriculture.

Research Focus

Key Achievements

Top Papers

1. 1
   A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform

   109 citations · 2017
2. 2
   Calibration of a multi-sensor system laser rangefinder/camera

   89 citations · 2002
3. 3
   Detecting high level features for mobile robot localization

   19 citations · 2002
4. 4
   Macsum: A new interval-valued linear operator

   7 citations · 2022
5. 5
   A suitable polygonal approximation for laser rangefinder data

   4 citations · 2002
6. 6
   FLYBO: A Unified Benchmark Environment for Autonomous Flying Robots

   3 citations · 2021
7. 7
   Filtering and fusing compass and gyrometer data using Guess filter

   3 citations · 2002
8. 8
   FILTERING DATA BY USING THREE ERROR THEORIES TOGETHER: THE GUESS FILTER

   2 citations · 1996

Key Collaborators

Contact & Links