The sufficient attitude knowledge including location of recognized stars in star image can be obtained with Lost-In-Space case. In order to make use of the sufficient attitude knowledge, the star sensor may work in st...
详细信息
ISBN:
(纸本)9780819467270
The sufficient attitude knowledge including location of recognized stars in star image can be obtained with Lost-In-Space case. In order to make use of the sufficient attitude knowledge, the star sensor may work in startracking case. To achieve this, a star tracking algorithm is proposed in this paper. The previous location of recognized stars in star image may be used to obtain location of observed star in proper region of current star image with the star tracking algorithm. The simulations and real sky experiment results show that the star tracking algorithm proposed in this paper not only improves update rate of star sensor, but also avoids fault star pattern recognition. Finally, a star sensor featuring star tracking algorithm proposed in this paper was for on-orbit demonstration.
The Kalman trackingalgorithm estimates position, velocity, and acceleration of a target from noisy measurement. A parallel Kalman algorithm is derived using the row-column partitioning with the modified state vector ...
详细信息
The Kalman trackingalgorithm estimates position, velocity, and acceleration of a target from noisy measurement. A parallel Kalman algorithm is derived using the row-column partitioning with the modified state vector representation for multiprocessor realization. Mapping the tasks onto the multiprocessor system to minimize the time needed to complete all the tasks is an NP hard problem, and it arises when the task dependency structure of a parallel algorithm differs from the processor interconnection topology or when the number of processes generated by the algorithm exceeds the number of processors available. The efficient mapping of 3D-3S parallel Kalman trackingalgorithm onto the network of 10 transputers, which are connected in tree structure that achieves a speedup of 6 is presented here.
The larger area threshold scan window in star image is scanned with conventional star tracking algorithm under large maneuvering of the vehicle. This results that the number of calculating angular separation between t...
详细信息
ISBN:
(纸本)9783038350019
The larger area threshold scan window in star image is scanned with conventional star tracking algorithm under large maneuvering of the vehicle. This results that the number of calculating angular separation between two stars is increased. So the update rate of star sensor is decreased and the feasibility of errors star locations is increased. So, an autonomous predicted star locations algorithm with high angle velocity is presented in this paper. Firstly, the actual star locations are obtained within the threshold scan window of corresponding ideal star locations calculated by last frame in the current star image. Secondly the current attitude information is calculated with the obtaining actual star locations. Thirdly, the next ideal attitude is calculated with current attitude and last attitude. Finally, the next ideal star locations are calculated with the next ideal attitude. At last the algorithm are tested not only simulation but also at night sky experiment with the angular speed maneuvering of aircraft is 5.208681 degrees/s in 2013. And the algorithm has be applied star sensor of satellite GNC.
Of all current methods for measuring spacecraft attitude, the use of star sensors produces the most accurate measurements. Conventional star sensors repeat these processes with Lost-In-Space case. To advance the metho...
详细信息
ISBN:
(纸本)9783037852842
Of all current methods for measuring spacecraft attitude, the use of star sensors produces the most accurate measurements. Conventional star sensors repeat these processes with Lost-In-Space case. To advance the methods available to solve these problems, this paper presents an autonomous predictive centroiding algorithm for the star sensor. The star sensor works in the star predictive centroiding case while few recognized stars within the FOV (Field of View). The ideal locations of unrecognized stars and recognized stars in star image are predicted at first. Then the corresponding real locations of recognized stars and unrecognized stars are obtained in the threshold scan window of predictive centroiding. It enables only several hundred pixels to be scanned. The speed and the accuracy of this algorithm are successfully demonstrated in comparison with the ordinary centroiding, algorithms which don't use the previous image data. Finally the autonomous predictive centroiding algorithm was successfully demonstrated with real sky experiment in 2008 and on-orbit in 2010.
The problem of autonomous tracking a ground moving target using one single unmanned aerial vehicle is studied. An integrated trackingalgorithm is proposed and it consists of a vision-based estimator and a Lyapunov ve...
详细信息
ISBN:
(纸本)9781424474264
The problem of autonomous tracking a ground moving target using one single unmanned aerial vehicle is studied. An integrated trackingalgorithm is proposed and it consists of a vision-based estimator and a Lyapunov vector field-based guidance law. The tracking trajectory converges to a circular orbit loitering around the target of arbitrary motion. Further, the proposed estimator ensures continuous tracking mission in presence of the loss-of-tracking events. The performance of the proposed trackingalgorithm is demonstrated through computer simulations.
This paper focuses on tracking in typical traffic monitoring scenarios with emphasis on handling occlusions caused by trees, lampposts and cables. We extend the existing tracking with Occlusion handling and Drift corr...
详细信息
ISBN:
(纸本)9781467365970
This paper focuses on tracking in typical traffic monitoring scenarios with emphasis on handling occlusions caused by trees, lampposts and cables. We extend the existing tracking with Occlusion handling and Drift correction (TROD) algorithm with a novel occlusion detection algorithm, based on measuring the changes in the object motion pattern. The motion information is extracted via frame differencing and described a the HOG descriptor. Occlusions are handled by preventing the model update and predicting the object location based on prior observations. Our proposed system clearly outperforms state-of-the-art trackingalgorithms for larger occlusions in the specific pedestrian surveillance scenario, that is, the percentage of successfully tracked objects grows with 10-15%. At the same time, for non-specific public datasets, the performance is similar to existing state-of-the-art trackingalgorithms.
This paper presents experimental results obtained from a test-bed with IEEE 802.11p modern prototypes and an RF channel emulator, and compares them with simulation results. Measurement results confirm some of the simu...
详细信息
ISBN:
(纸本)9781467321877
This paper presents experimental results obtained from a test-bed with IEEE 802.11p modern prototypes and an RF channel emulator, and compares them with simulation results. Measurement results confirm some of the simulation results, and highlight the importance of using channel trackingalgorithms at the receiver to support very high mobility.
暂无评论