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A Robust Motion Detection Technique for Dynamic Environment Monitoring: A Framework for Grid-Based Monitoring of the Dynamic Environment.

, , and . IEEE Robot. Automat. Mag., 21 (1): 40-48 (2014)

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Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking., , , and . ICARCV, page 656-661. IEEE, (2012)Experiments Comparing Precision of Stereo-Vision Approaches for Control of an Industrial Manipulator., , , , , and . ISER, volume 88 of Springer Tracts in Advanced Robotics, page 245-256. Springer, (2012)Using the disparity space to compute occupancy grids from stereo-vision., , , and . IROS, page 2721-2726. IEEE, (2010)Fusion of telemetric and visual data from road scenes with a lexus experimental platform., , and . Intelligent Vehicles Symposium, page 746-751. IEEE, (2011)Road Scene Analysis by Stereovision: a Robust and Quasi-Dense Approach., , , and . ICARCV, page 1-6. IEEE, (2006)Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety., , , , , , , and . IEEE Intell. Transport. Syst. Mag., 3 (4): 4-19 (2011)The ArosDyn project: Robust analysis of dynamic scenes., , , , , and . ICARCV, page 1403-1409. IEEE, (2010)Teachless teach-repeat: Toward vision-based programming of industrial robots., , , , and . ICRA, page 409-414. IEEE, (2012)Probabilistic Grid-Based Collision Risk Prediction for Driving Application., , , and . ISER, volume 109 of Springer Tracts in Advanced Robotics, page 821-834. Springer, (2014)Probabilistic Integration of Intensity and Depth Information for Part-Based Vehicle Detection., , and . IEEE Trans. Intelligent Transportation Systems, 14 (4): 1896-1906 (2013)