The algorithm is intended to operate with many particles in a large-scale environment.
However, a limitation of DGKD is found in a large-scale environment by our recent work.
In this case, the efficiency of SLAM would be significantly reduced, especially in a large-scale environment.
As a conclusion, the monocular FastSLAM2.0 is shown to perform well with high number of particles in a large-scale environment.
The aim of this section is to evaluate FastSLAM2.0 on an embedded architecture and to determine the number of particles needed for a monocular FastSLAM2.0 to operate well in a large-scale environment (Fig. 11).
In order to increase the adaptability of DGKD in a large-scale environment, an improved method called probabilistic double guarantee kidnapping detection is proposed in this paper to combine probability of features' positions and the robot's posture.
Therefore, studying and reviewing the more complicated cases where the final destination is not visible from the starting point for the pedestrian is neglected in this study, as the navigational strategies for human locomotion in a large-scale environment is beyond the scope of this study (for more details, see [34]).
Dudamel said the Bowl also has given him and his orchestra a welcome yearly opportunity to perform semi-staged opera in a large-scale environment.
As we mentioned, Yoo [16] proposed an effective method for 2-D graph partitioning for BFS in a large-scale distributed-memory computing environment; the base algorithm itself was a simple top-down BFS and was evaluated on a large-scale environment 32,768 node BlueGene/L.
Pedestrians usually do not have clear global knowledge of the environment and the topology of the origin and destination nodes in the large scale environment.
In order to achieve satisfactory Quality of Service (QoS) and reduce operation cost, we present a fully distributed workload management system in a large scale server environment, e.g., cloud.
