By Antonio M. López,Atsushi Imiya,Tomas Pajdla,Jose M. Álvarez
A unified view of using computing device imaginative and prescient know-how for various kinds of vehicles
Computer imaginative and prescient in automobile Technology specializes in machine imaginative and prescient as on-board know-how, bringing jointly fields of analysis the place machine imaginative and prescient is gradually penetrating: the car quarter, unmanned aerial and underwater cars. It additionally serves as a reference for researchers of present advancements and demanding situations in components of the applying of laptop imaginative and prescient, related to cars reminiscent of complicated driving force information (pedestrian detection, lane departure caution, site visitors signal recognition), self sufficient using and robotic navigation (with visible simultaneous localization and mapping) or unmanned aerial autos (obstacle avoidance, panorama type and mapping, hearth chance assessment).
The total function of computing device imaginative and prescient for the navigation of other autos, in addition to know-how to handle on-board functions, is analysed.
- Presents the most recent advances within the box of machine imaginative and prescient and automobile applied sciences in a hugely informative and comprehensible approach, together with the fundamental arithmetic for every problem.
- Provides a entire precis of the cutting-edge desktop imaginative and prescient strategies in cars from the navigation and the addressable functions issues of view.
- Offers a close description of the open demanding situations and company possibilities for the instant destiny within the visual view established car technologies.
This is vital studying for computing device imaginative and prescient researchers, in addition to engineers operating in automobile applied sciences, and scholars of computing device vision.
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Extra resources for Computer Vision in Vehicle Technology: Land, Sea, and Air
Computer Vision in Vehicle Technology: Land, Sea, and Air by Antonio M. López,Atsushi Imiya,Tomas Pajdla,Jose M. Álvarez