A stochastic map for uncertain spatial relationships
Proceedings of the 4th international symposium on Robotics Research
Simultaneous Localization and Map-Building Using Active Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monocular Vision Based SLAM for Mobile Robots
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
An appearance-based visual compass for mobile robots
Robotics and Autonomous Systems
Multi-robot visual SLAM using a Rao-Blackwellized particle filter
Robotics and Autonomous Systems
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Inverse Depth Parametrization for Monocular SLAM
IEEE Transactions on Robotics
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The precise localization of the mobile robot plays a vital role in the autonomous operation of the mobile robot. The vision based simultaneous localization and mapping (SLAM) is a widely known technique for tracking the movement of the camera in the unknown environment. This paper presents a robot's movement model which is based on the reference trajectory of the robot. The proposed model was compared with the state-of-the-art model used in the successful MonoSLAM system[8] and provided good results.