Sairah Naveed - Profile on Academia.edu (original) (raw)

Daniel D. Hutto related author profile picture

Jonathan Zittrain related author profile picture

Bhubaneswar Mishra related author profile picture

Beat Signer related author profile picture

Alberto Pimpinelli related author profile picture

Alexandre Borovik related author profile picture

Jana Javornik related author profile picture

Armando Marques-Guedes related author profile picture

Dan Zahavi related author profile picture

Graham Martin related author profile picture

Uploads

Papers by Sairah Naveed

Research paper thumbnail of EKF based SLAM with Known Correspondence

EKF based SLAM with Known Correspondence

한국지능시스템학회 학술발표 논문집, Apr 1, 2013

Research paper thumbnail of Analysis of Indoor Robot Localization Using Ultrasonic Sensors

This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an ind... more This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an indoor mobile robot. A mobile robot must know where it is to navigate in an indoor environment. The MCL technique is one of the most influential and popular techniques for estimation of robot position and orientation using a particle filter. For the analysis, we perform experiments in an indoor environment with a differential drive robot and ultrasonic range sensor system. The analysis uses MATLAB for implementation of the MCL and investigates the effects of the control parameters on the MCL performance. The control parameters are the uncertainty of the motion model of the mobile robot and the noise level of the measurement model of the range sensor.

Research paper thumbnail of EKF based SLAM with Known Correspondence

EKF based SLAM with Known Correspondence

한국지능시스템학회 학술발표 논문집, Apr 1, 2013

Research paper thumbnail of Analysis of Indoor Robot Localization Using Ultrasonic Sensors

This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an ind... more This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an indoor mobile robot. A mobile robot must know where it is to navigate in an indoor environment. The MCL technique is one of the most influential and popular techniques for estimation of robot position and orientation using a particle filter. For the analysis, we perform experiments in an indoor environment with a differential drive robot and ultrasonic range sensor system. The analysis uses MATLAB for implementation of the MCL and investigates the effects of the control parameters on the MCL performance. The control parameters are the uncertainty of the motion model of the mobile robot and the noise level of the measurement model of the range sensor.

Log In