Review of 20 years of range sensor development
By François Blais. IS&T/SPIE Electronic Imaging, 2003
1,126 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Instrumentation
View Paper: https://www.semanticscholar.org/paper/0246aebfe14dec5e0b1a0ecbf5491e1cae457237
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Sebastian Thrun
- Luc Van Gool
- Nick Barnes
- Bastian Leibe
- Radu Patrice Horaud
- Shi Qiu
- Thibaut Weise
- Anna Petrovskaya
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Bastian Leibe
- Jitendra Malik
- Juergen Gall
- Xiaogang Wang
- Andrew Zisserman
- Li Fei-Fei
In Instrumentation
- Radu Patrice Horaud
- Miles E. Hansard
- Clément Ménier
- Sebastian Thrun
- Carme Torras
- Sergi Foix
- Anna Petrovskaya
- Guillem Alenyà
Citations in the corpus
- Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review (2016, background): “High-speed, high-accuracy, and non-contact three dimensional (3D) shape measurement has been an extensively studied research area due to the diversity of potential application which extends to a variety of fields including but not limited to mechanical engineering, industrial monitoring, computer vi”
- Super Resolution Laser Radar with Blinking Atmospheric Particles - Application to Interacting Flying Insects (2014, neutral): “A number of angles, distances and equations can be postulated for achieving the Scheimpflug condition [22], but the solution is conveniently found by imposing three conditions: 1) the plane of the CCD, the receiving lens and the transmitted beam coincide in the same point, 2) the ray impinging at…”
- Model based vehicle detection and tracking for autonomous urban driving (2009, methodology): “Studies have been performed for older sensors (M̈ akynen, 2000; Blais, 2004), but this information is not yet available for the newer models of range finders.”
- Geometric Back-Projection Network for Point Cloud Classification (2019, background): “tions of 3D data, and widely used for both research and applications in multimedia [1]–[5] because of the development of 3D sensing technology. Generally, 3D point clouds can be collected by scanners [6] utilizing physical touch or non-contact measurements: e.g., light, sound, LiDAR etc. Particularl”
- Lock-in Time-of-Flight (ToF) Cameras: A Survey (2011, background): “Traditionally, depth computation has been carried out by camera and laser-based systems (see [15] for a complete review on laser and other light emitting devices).”
- Fast 3D Scanning with Automatic Motion Compensation (2007, background): “The development of non-contact 3D sensors has made considerable progress over the past decades [2].”
- An overview of depth cameras and range scanners based on time-of-flight technologies (2016, background): “D object modeling [Blais, 2004], Other applications include terrain measurement, simultaneous localization and mapping (SLAM), autonomous and semi-autonomous vehicle guidance (including obstacle detection), as well as object grasping and manipulation.”