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Jan 13, 2022 · A SKSK query returns a list of the k objects with the largest ranking scores, and the objects in this list are sorted in descending order of ...
To optimize the query algorithm, we propose two pruning strategies, distance-based BF algorithm and X-HOP_BF algorithm, to improve the query efficiency.
Based on the SIR -tree index we propose the priority traversal algorithm BF, which uses a priority queue to store all candidate objects and traverses the nodes ...
An autonomous vehicle that searches for parking spots and performs parallel parking all on its own! We utilized the KNN algorithm, sensor data, ROS2, and ...
Missing: Method Driving
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... method for vehicle detection by fusing camera data and radar data. ... A multi-sensor fusion and object tracking algorithm for self-driving vehicles.
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In this article, we propose a new method to estimate a search boundary, which is a circle centred at query point. Two algorithms are presented to disseminate ...
Missing: Autonomous | Show results with:Autonomous
A KNN Query Method for Autonomous Driving Sensor Data ; Tang Jie. South China University of Technology, Guangzhou, China ; Zhang Jiehui. South China University of ...
In this paper, we propose a maintenance-free, itinerary-based approach called density-aware itinerary KNN query processing (DIKNN). The DIKNN divides the search ...
Missing: Driving | Show results with:Driving
We will utilize the K-Nearest Neighbors (KNN) match function for each query key point ... measurement data, most often sensor data from an engine control unit ( ...
