Essays about: "Monocular visual SLAM Kalman Filter"

Found 4 essays containing the words Monocular visual SLAM Kalman Filter.

1. 1. Inertial-aided EKF-based Structure from Motionfor Robust Real-time Augmented Reality

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : JOAKIM HUGMARK; [2013]
   Keywords : ;

   Abstract : The aim of this project was to develop a system that enables the overlay of computer graphics in a video sequence recorded by a moving camera. To do this, the camera’s position relative different landmarks in the picture needs to be estimated, a problem commonly referred to as “Structure from Motion” within the Computer Vision community, or “Monocular SLAM” within the robotics community. READ MORE

3. 2. Monocular Visual SLAMbased on Inverse DepthParametrizationMonocular Visual SLAMbased on Inverse DepthParametrization

   University essay from Akademin för innovation, design och teknik

   Author : Victor Rivero Pindado; [2010]
   Keywords : Monocular visual SLAM Kalman Filter;

   Abstract : The first objective of this research has always been carry out a study of visual techniques SLAM (Simultaneous localization and mapping), specifically the type monovisual, less studied than the stereo. These techniques have been well studied in the world of robotics. READ MORE

4. 3. Monocular visual SLAM based on Inverse depth parametrization

   University essay from Akademin för innovation, design och teknik

   Author : Víctor Rivero Pindado; [2010]
   Keywords : visual SLAM Kalman;

   Abstract : The first objective of this research has always been carry out a study of visual techniques SLAM (Simultaneous localization and mapping), specifically the type monovisual, less studied than the stereo. These techniques have been well studied in the world of robotics. READ MORE

5. 4. An Optimization Based Approach to Visual Odometry Using Infrared Images

   University essay from

   Author : Emil Nilsson; [2010]
   Keywords : visual odometry; smoothing and mapping; SAM; SLAM; automobile motion model; FIR; monocular;

   Abstract : The goal of this work has been to improve the accuracy of a pre-existing algorithm for vehicle pose estimation, which uses intrinsic measurements of vehicle motion and measurements derived from far infrared images. Estimating the pose of a vehicle, based on images from an on-board camera and intrinsic measurements of vehicle motion, is a problem of simultanoeus localization and mapping (SLAM), and it can be solved using the extended Kalman filter (EKF). READ MORE