This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods usually require explicit measurement of actual motion of the robot. Some recent methods use the smart encoder trailer or long range finder sensors such ...

Dead reckoning is employed in Advanced Distributed Simulation exercises to reduce the need to continually update a simulated entity’s state information. The IEEE Distributed Interactive Simulation (DIS) protocol provides a standard set of 11 algorithms for entity position and orientation dead reckoning. Related to dead reckoning is the heartbeat mechanism used to periodically define the current...

This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods usually require explicit measurement of actual motion of the robot. Some recent methods use the smart encoder trailer or long range finder sensors such ...

This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods, usually require explicit measurement of actual motion of the robot. Some recent methods, use the smart encoder trailer or long range finder sensors suc...

To measure system states and local environment directly with high precision, expensive sensors are required. However, highly accurate system states and environmental perception can also be achieved using data fusion techniques and digital maps. One crucial task of multi-sensor state estimation is to project different sensor measurements into the same temporal, spatial and physical domain, estim...

This technical report outlines a system for robust indoor localization on a commercial smart-phone. Towards achieving effective localization, in the absence of GPS, we combine complementary localization algorithms of dead reckoning and Wifi signal strength fingerprinting. Dead reckoning is performed using the on-board accelerometer, magnetometer, and gyroscope sensors to detect motion and estim...

Existing localization techniques such as GPS have fundamental limitations which preclude deployment in urban canyons or areas with inconsistent network availability. Augmenting GPS requires specialized infrastructure or tedious calibration tasks which limit general purpose applications. In this paper, we examine the utility of cooperatively sharing location data among connected nodes in order t...

This paper presents the key steps involved in the design, calibration and error modelling of a low cost odometry system capable of achieving high accuracy dead-reckoning. A consistent error model for estimating position and orientation errors has been developed. Previous work on propagating odometry error covariance relies on incrementally updating the covariance matrix in small time steps. The...

An artificial landmark-based, automatic navigation system was developed for a small-scale field robot. Several low-cost sensing techniques were involved in the system to detect surroundings and determine the position of the moving robot. Several tests were conducted to evaluate the accuracy of linear distance and angular displacement using dead-reckoning with a gyro-correction, overall performa...