Sensor Fusion of a 2D Laser Scanner and a Thermal Camera

In order to increase the robustness of localisation and victim detection in low visibility situations it is necessary to fuse several sensors. The most common sensor used in robotics is the 2D laser scanner which delivers distance measurements. In combination with a camera the gained information can be supported by visual information about the environment. Thermal cameras are ideal for finding objects with a certain temperature, but they do not deliver distance information. The difficulty in fusing these two sensors is, that a correspondence between each distance measurement and its corresponding pixel within the thermal image needs to be found. As the laser scanner only displays one plane, this is not an intuitive task. A special triangular calibration target, covering all six degrees of freedom and being visible for both sensors, was developed. In the end the transformation between each laser scan point and its corresponding thermal image pixel is given. This allows for assigning every laser measurement within the field of view a corresponding thermal pixel. The final application will enable detection of human beings and display the distance required to reach them.

[1]  Olivier Strauss,et al.  Calibration of a multi-sensor system laser rangefinder/camera , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[2]  Jörg Franke,et al.  Data fusion between a 2D laser profile sensor and a camera , 2015, 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

[3]  A. Schilling,et al.  AUTOMATIC FEATURE MATCHING BETWEEN DIGITAL IMAGES AND 2 D REPRESENTATIONS OF A 3 D LASER SCANNER POINT CLOUD , 2010 .

[4]  Elisabetta Rosina,et al.  Mapping Infrared Data on Terrestrial Laser Scanning 3D Models of Buildings , 2011, Remote. Sens..

[5]  Volkan Isler,et al.  A Novel Method for Extrinsic Calibration of a 2-D Laser-Rangefinder and a Camera , 2016, ArXiv.

[6]  Thierry Peynot,et al.  Reliable automatic camera-laser calibration , 2010, ICRA 2010.

[7]  Andreas Nüchter,et al.  Thermal 3D Mapping of Building Façades , 2012, IAS.

[8]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Fernando García,et al.  Hybrid fusion scheme for pedestrian detection based on laser scanner and far infrared camera , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[10]  Robert Pless,et al.  Extrinsic calibration of a camera and laser range finder (improves camera calibration) , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[11]  Kostas Daniilidis,et al.  Automatic alignment of a camera with a line scan LIDAR system , 2011, 2011 IEEE International Conference on Robotics and Automation.

[12]  Ying Lin,et al.  3D LIDAR-Camera Extrinsic Calibration Using an Arbitrary Trihedron , 2013, Sensors.

[13]  丁萌,et al.  A fast moving object detection method based on 2D laser scanner and infrared camera , 2015 .

[14]  Silvio Savarese,et al.  Extrinsic Calibration of a 3D Laser Scanner and an Omnidirectional Camera , 2010 .