Special Issue "LiDAR and Time-of-flight Imaging"
Deadline for manuscript submissions: 31 March 2019
Prof. Dr. Santiago Royo Royo
Time-of-flight and lidar imaging are currently one the main drivers of the applied development in optomechanics and electronics. There is a compelling need to develop robust and cost-effective lidar sensors for the autonomous vehicle industry, and in particular for automotives. This has resulted in a number of different radiometric modelling approaches, and in intense activity in the development of novel components, including sources, detectors, and optics. Further, several sensing strategies are being proposed beyond the classical pulsed and modulated approaches, which may involve sophisticated components such as optical phased arrays or MEMS scanners to solve a problem that pushes the state of the art of current technology. Advances in lidar, however, also need progress in the behavior of lidar imaging units in inclment weather, or on the software side, as in strategies for the management of dense point-clouds in real time, or in miniaturization for mobile phone applications. Progress beyond the state of the art in such a number of different fields of applied science activities is required to bring lidar imagers closer to become the next step in optical imaging and to change our perception of the world.
Prof. Dr. Santiago Royo Royo
Dr. Jan-Erik Kallhammer
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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- Lidar imaging
- Sources and detectors for lidar imagers
- Novel measurement schemes
- Point cloud sensing and management