2008 IEEE Intelligent Vehicles Symposium 2008
DOI: 10.1109/ivs.2008.4621281
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Motion segmentation and scene classification from 3D LIDAR data

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Cited by 58 publications
(24 citation statements)
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“…The planimetric accuracy of MLS system is reduced in GNSS degraded environments, and ALS data can be used to improve georeferencing of the MLS data. Recent studies on MLS systems and their accuracy as well as environmental modelling done with MLS can be found in Barber et al (2008), Brenner (2009), Clarke (2004), El-Sheimy (2005, Früh and Zakhor (2004), Graham (2010), Haala et al (2008), Hassan and El-Sheimy (2008), Jaakkola et al (2008), Kukko et al (2007), Kukko andHyyppä (2009), Lehtomäki et al (2010), Li et al (2004), Manandhar and Shibasaki (2002), Petrie (2010), Shen et al (2008), Steinhauser et al (2008), Tao and Li (2007), Weiss and Dietmayer (2007), Yu et al (2007) and Shibasaki (2003a,b, 2005). Currently, there is an increasing number of research systems (e.g., Geomobil (ICC), GeoMaster (University of Tokyo), Lara-3D (Ecoles des Mines de Paris), ROAMER (FGI)), and commercial and custom-made systems (for example Optech Lynx mobile mapper, Streetmappers of 3D Laser Mapping based on Riegl scanners, Mitsubishi using Sick LMS 291, Riegl VMX-250 integrating two Riegl VQ-250 scanners, Topcon-made systems to Google IP-S2 having three Sick LMS 291 scanners, Trimble Trident-3D based on Sick and Riegl scanners Petrie, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The planimetric accuracy of MLS system is reduced in GNSS degraded environments, and ALS data can be used to improve georeferencing of the MLS data. Recent studies on MLS systems and their accuracy as well as environmental modelling done with MLS can be found in Barber et al (2008), Brenner (2009), Clarke (2004), El-Sheimy (2005, Früh and Zakhor (2004), Graham (2010), Haala et al (2008), Hassan and El-Sheimy (2008), Jaakkola et al (2008), Kukko et al (2007), Kukko andHyyppä (2009), Lehtomäki et al (2010), Li et al (2004), Manandhar and Shibasaki (2002), Petrie (2010), Shen et al (2008), Steinhauser et al (2008), Tao and Li (2007), Weiss and Dietmayer (2007), Yu et al (2007) and Shibasaki (2003a,b, 2005). Currently, there is an increasing number of research systems (e.g., Geomobil (ICC), GeoMaster (University of Tokyo), Lara-3D (Ecoles des Mines de Paris), ROAMER (FGI)), and commercial and custom-made systems (for example Optech Lynx mobile mapper, Streetmappers of 3D Laser Mapping based on Riegl scanners, Mitsubishi using Sick LMS 291, Riegl VMX-250 integrating two Riegl VQ-250 scanners, Topcon-made systems to Google IP-S2 having three Sick LMS 291 scanners, Trimble Trident-3D based on Sick and Riegl scanners Petrie, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The graph is usually obtained directly from the scanning setup or by triangulation. Attributes used include surface direction [13], curvature [14], [15], edges [16], local smoothness constraints [17] and more. Region growing algorithms (e.g.…”
Section: B Range Image Based Methodsmentioning
confidence: 99%
“…They may be used to produce detailed maps [1], to detect, classify and track items in the scene [2], and to recover the trajectory of the robot [3,4]. 3D laser range finders are usually of the 'actuated' variety: a relatively low-cost unit with a 2D field of view, mounted on an actuator which varies the scanning plane to cover a 3D volume.…”
Section: Introduction and Related Workmentioning
confidence: 99%