Sensors, SLAM and Long-term Autonomy: A Review

Simultaneous Localization and Mapping, commonly known as SLAM, has been an active research area in the field of Robotics over the past three decades. For solving the SLAM problem, every robot is equipped with either a single sensor or a combination of similar/different sensors. This paper attempts to review, discuss, evaluate and compare these sensors. Keeping an eye on future, this paper also assesses the characteristics of these sensors against factors critical to the long-term autonomy challenge.

[1]  Joseph Wang,et al.  Sensors and signals , 1991 .

[2]  Andreas Zell,et al.  Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT , 2006, Robotics Auton. Syst..

[3]  Simon Lacroix,et al.  Vision-Based SLAM: Stereo and Monocular Approaches , 2007, International Journal of Computer Vision.

[4]  Ian D. Reid,et al.  Article in Press Robotics and Autonomous Systems ( ) – Robotics and Autonomous Systems a Comparison of Loop Closing Techniques in Monocular Slam , 2022 .

[5]  Davide Scaramuzza,et al.  EVO: A Geometric Approach to Event-Based 6-DOF Parallel Tracking and Mapping in Real Time , 2017, IEEE Robotics and Automation Letters.

[6]  Yu Zheng Chong,et al.  Sensor Technologies and Simultaneous Localization and Mapping (SLAM) , 2015 .

[7]  Javier Civera,et al.  Towards semantic SLAM using a monocular camera , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Antonio Torralba,et al.  Building the gist of a scene: the role of global image features in recognition. , 2006, Progress in brain research.

[9]  John J. Leonard,et al.  Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age , 2016, IEEE Transactions on Robotics.

[10]  Daniel Cremers,et al.  Dense visual SLAM for RGB-D cameras , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Wolfram Burgard,et al.  Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[12]  Daniel Cremers,et al.  Robust odometry estimation for RGB-D cameras , 2013, 2013 IEEE International Conference on Robotics and Automation.

[13]  Sanjiv Singh,et al.  Range-only SLAM for robots operating cooperatively with sensor networks , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[14]  Alastair H. Moore,et al.  Acoustic simultaneous localization and mapping (A-SLAM) of a moving microphone array and its surrounding speakers , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[15]  John J. Leonard,et al.  Real-time large-scale dense RGB-D SLAM with volumetric fusion , 2014, Int. J. Robotics Res..

[16]  Viii Supervisor Sonar-Based Real-World Mapping and Navigation , 2001 .

[17]  Christopher Hunt,et al.  Notes on the OpenSURF Library , 2009 .

[18]  Myung Jin Chung,et al.  SLAM with omni-directional stereo vision sensor , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[19]  Jörg Stückler,et al.  Large-scale direct SLAM with stereo cameras , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[20]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[21]  Sebastian Thrun,et al.  Simultaneous localization and mapping with unknown data association using FastSLAM , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[22]  D Gabor,et al.  World modeling. , 1972, Science.

[23]  Martin Vetterli,et al.  EchoSLAM: Simultaneous localization and mapping with acoustic echoes , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[24]  Davide Scaramuzza,et al.  Continuous-Time Visual-Inertial Odometry for Event Cameras , 2017, IEEE Transactions on Robotics.

[25]  Olivier Stasse,et al.  MonoSLAM: Real-Time Single Camera SLAM , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  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.

[27]  James J. Little,et al.  /spl sigma/SLAM: stereo vision SLAM using the Rao-Blackwellised particle filter and a novel mixture proposal distribution , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[28]  Lina María Paz,et al.  Large-Scale 6-DOF SLAM With Stereo-in-Hand , 2008, IEEE Transactions on Robotics.

[29]  Wolfram Burgard,et al.  An evaluation of the RGB-D SLAM system , 2012, 2012 IEEE International Conference on Robotics and Automation.

[30]  Albert S. Huang,et al.  Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera , 2011, ISRR.

[31]  Wolfgang Hess,et al.  Real-time loop closure in 2D LIDAR SLAM , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[32]  Jianqiang Yi,et al.  Motion vision for mobile robot localization , 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

[33]  Masahiro Tomono Robust 3D SLAM with a stereo camera based on an edge-point ICP algorithm , 2009, 2009 IEEE International Conference on Robotics and Automation.

[34]  Kai Oliver Arras,et al.  FLIRT: Interest Regions for 2D Range Data with Applications to Robot Navigation , 2010, ISER.

[35]  Yunhui Liu,et al.  A new algorithm for robot localization using monocular vision and inertia/odometry sensors , 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[36]  Luis Payá,et al.  A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors , 2017, J. Sensors.

[37]  Michel Dhome,et al.  Monocular Vision for Mobile Robot Localization and Autonomous Navigation , 2007, International Journal of Computer Vision.

[38]  Davide Scaramuzza,et al.  Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios , 2017, IEEE Robotics and Automation Letters.

[39]  Mikko Nuutinen,et al.  Method for measuring stereo camera depth accuracy based on stereoscopic vision , 2011, Electronic Imaging.