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We present a method to obtain the position and orientation of an object through measurement from multiple sensors. ... The formulation of object localization ...
We present a method to obtain the position and orientation of an object through measurement from multiple sensors. Raw sensor measurements are subject to ...
This paper presents a multimodal object localization framework which is based on data fusion by decentralized state esti- mation. For this purpose the ...
A novel scheme for object localization and tracking under family environment is presented based on fusion of multiple sensors, which include two laser ...
In this paper, an object localization and tracking system is implemented with an ultrasonic sensing technique and improved algorithms.
We propose a LiDAR-based dynamic scene perception and multi-sensor localization framework. To improve the localization robustness in dynamic complex scenes.
Describes an implementation of a model based multi-sensor localisation system using high frequency ultrasonic and selective infrared transducers.
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MOST is a simple, yet effective method that localizes multiple objects per image without training. Abstract We tackle the challenging task of unsupervised ...
Missing: Sensors. | Show results with:Sensors.
Apr 11, 2023 · MOST can localize multiple objects per image and outperforms SOTA algorithms on several object localization and discovery benchmarks on PASCAL-VOC 07, 12 and ...
Missing: Sensors. | Show results with:Sensors.
Mar 21, 2021 · In this paper, an active single-object localization system with U-shaped ultrasonic module array is presented. The proposed algorithm in ...