3D Robotic Mapping [electronic resource] :The Simultaneous Localization and Mapping Problem with Six Degrees of Freedom / by Andreas Nüchter.
by Nüchter, Andreas [author.]; SpringerLink (Online service).
Material type:
Item type | Current location | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
TJ163.12 (Browse shelf) | Available | ||||
Long Loan | MAIN LIBRARY | TJ210.2-211.495 (Browse shelf) | Available |
Close shelf browser
TJ163.12 Optimization and Cooperative Control Strategies | TJ163.12 Sharing a Vision | TJ163.12 Flying Insects and Robots | TJ163.12 3D Robotic Mapping | TJ163.12 Modeling and Control for Efficient Bipedal Walking Robots | TJ163.12 Design and Control of Intelligent Robotic Systems | TJ163.12 Time-Varying Sliding Modes for Second and Third Order Systems |
Perceiving 3D Range Data -- State of the Art -- 3D Range Image Registration -- Globally Consistent Range Image Registration -- Experiments and Results -- 3D Maps with Semantics -- Conclusions and Outlook.
The monograph written by Andreas Nüchter is focused on acquiring spatial models of physical environments through mobile robots. The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping). 3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle). New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented.
There are no comments for this item.