Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a real-time photo-realistic 3D mapping framework for micro aerial vehicles (MAVs). RGBD images are generated from either stereo or structured light cameras, and fed into the processing pipeline. A visual odometry algorithm runs on-board the MAV.  improve the computational performance of the visual odometry by using the IMU readings to establish a 1-point RANSAC instead of using the standard 3-point RANSAC to estimate the relative motion beten consecutive frames.  use local bundle adjustment to refine the pose estimates. At the same time, the MAV builds a 3D occupancy grid from range data, and transmits this grid together with images and pose estimates over a wireless network to a ground station.  propose a view-dependent projective texture mapping method that is used by the ground station to incrementally build a 3D textured occupancy grid over time. This map is both geometrically accurate and photo-realistic; the map provides real-time visual updates on the ground to a remote operator, and is used for path planning as ll.
['Lionel Heng', 'Gim Hee Lee', 'Friedrich Fraundorfer', 'Marc Pollefeys']
I am writing a research paper on a idea Real-time photo-realistic 3D mapping for micro aerial vehicles
[{"from": "human", "value": "I am writing a research paper on a idea Real-time photo-realistic 3D mapping for micro aerial vehicles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a real-time photo-realistic 3D mapping framework for micro aerial vehicles (MAVs). RGBD images are generated from either stereo or structured light cameras, and fed into the processing pipeline. A visual odometry algorithm runs on-board the MAV.  improve the computational performance of the visual odometry by using the IMU readings to establish a 1-point RANSAC instead of using the standard 3-point RANSAC to estimate the relative motion beten consecutive frames.  use local bundle adjustment to refine the pose estimates. At the same time, the MAV builds a 3D occupancy grid from range data, and transmits this grid together with images and pose estimates over a wireless network to a ground station.  propose a view-dependent projective texture mapping method that is used by the ground station to incrementally build a 3D textured occupancy grid over time. This map is both geometrically accurate and photo-realistic; the map provides real-time visual updates on the ground to a remote operator, and is used for path planning as ll."}]