Evidential SLAM Fusing 2D Laser Scanner and Stereo Camera

This work introduces a new complete Simultaneous Localization and Mapping (SLAM) framework that uses an enriched representation of the world based on sensor fusion and is able to simultaneously pro...

[1]  Mathias Perrollaz,et al.  Using the disparity space to compute occupancy grids from stereo-vision , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Hugh F. Durrant-Whyte,et al.  An evidential approach to map-building for autonomous vehicles , 1998, IEEE Trans. Robotics Autom..

[3]  W. Sardha Wijesoma,et al.  Improving path planning and mapping based on stereo vision and lidar , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[4]  G. Oriolo,et al.  Fuzzy Maps: A New Tool for Mobile Robot Perception and Planning , 1997 .

[5]  Christian Laugier,et al.  Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[6]  Véronique Berge-Cherfaoui,et al.  Evidential occupancy grid mapping with stereo-vision , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

[7]  Christian Laugier,et al.  Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application , 2006, Int. J. Robotics Res..

[8]  Véronique Berge-Cherfaoui,et al.  Using evidential occupancy grid for vehicle trajectory planning under uncertainty with tentacles , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

[9]  Benjamin Pannetier,et al.  Grid occupancy estimation for environment perception based on belief functions and PCR6 , 2015, Defense + Security Symposium.

[10]  Mathias Perrollaz,et al.  Probabilistic representation of the uncertainty of stereo-vision and application to obstacle detection , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[11]  Martin David Adams,et al.  Evidential versus Bayesian Estimation for Radar Map Building , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[12]  Simon Baker,et al.  Equivalence and efficiency of image alignment algorithms , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[13]  Chieh-Chih Wang,et al.  Mapping and Localization in 3D Environments Using a 2D Laser Scanner and a Stereo Camera , 2012, J. Inf. Sci. Eng..

[14]  Véronique Berge-Cherfaoui,et al.  Credibilist occupancy grids for vehicle perception in dynamic environments , 2011, 2011 IEEE International Conference on Robotics and Automation.

[15]  Andreas Geiger,et al.  Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..

[16]  Javier González,et al.  A robust, multi-hypothesis approach to matching occupancy grid maps , 2013, Robotica.

[17]  Evangeline Pollard,et al.  Credibilist simultaneous Localization And Mapping with a LIDAR , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  Dirk Wollherr,et al.  Object tracking based on evidential dynamic occupancy grids in urban environments , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

[19]  Stefan Kohlbrecher,et al.  A flexible and scalable SLAM system with full 3D motion estimation , 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.

[20]  Alberto Elfes,et al.  Using occupancy grids for mobile robot perception and navigation , 1989, Computer.