While vision-based localization techniques have been widely studied for small autonomous unmanned vehicles (SAUVs), sound-source capabilities not fully enabled SAUVs. This paper presents two novel approaches SAUVs to perform three-dimensional (3D) multi-sound-sources (MSSL) using only the inter-channel time difference (ICTD) signal generated by a self-rotating bi-microphone array. The proposed ...

Precise reconstruction of the morphological structure soybean canopy and acquisition plant traits have great theoretical significance practical value for variety selection, scientific cultivation, fine management. Since it is difficult to obtain all-around information on living plants with traditional single or binocular machine vision, this paper proposes a three-dimensional (3D) method recons...

The accurate and efficient segmentation of large-scale urban point clouds is crucial for many higher-level tasks, such as boundary line extraction, cloud registration, deformation measurement. In this paper, we propose a novel supervoxel approach to address the problem under-segmentation in local regions at various resolutions. Our introduces distance constraints from points planes merging stag...

In this work, 11 regression models based on machine learning techniques were employed to provide a fast-response and accurate model for the prediction of start combustion in homogeneous charge compression ignition engines fueled with methane. These are categorized into linear nonlinear types. Although robust random sample consensus (RANSAC) is type as well SAM (simple algebraic model), accuracy...

Although RANSAC is proven to be robust, the original RANSAC algorithm selects hypothesis sets at random, generating numerous iterations and high computational costs because many hypothesis sets are contaminated with outliers. This paper presents a conditional sampling method, multiBaySAC (Bayes SAmple Consensus), that fuses the BaySAC algorithm with candidate model parameters statistical testin...

Airborne laser scanner technique is broadly the most appropriate way to acquire rapidly and with high density 3D data over a city. Once the 3D Lidar data are available, the next task is the automatic data processing, with major aim to construct 3D building models. Among the numerous automatic reconstruction methods, the techniques allowing the detection of 3D building roof planes are of crucial...

Using a single sensor to determine the pose estimation of a device cannot give accurate results. This paper presents a fusion of an inertial sensor of six degrees of freedom (6-DoF) which comprises the 3-axis of an accelerometer and the 3-axis of a gyroscope, and a vision to determine a low-cost and accurate position for an autonomous mobile robot. For vision, a monocular vision-based object de...

Accurate time delay estimation between signals is crucial for coherent imaging systems such as synthetic aperture sonar (SAS) and radar (SAR). In systems, estimates resulting from the cross-correlation of complex are commonly used to generate navigation scene height measurements. presence noise, can be ambiguous, containing errors corresponding an integer number phase wraps. These ambiguities c...

While point clouds hold promise for measuring the geometrical features of 3D objects, their application to plants remains problematic. Plants are three dimensional (3D) organisms whose morphology is complex, varies from one individual another and changes over time. Objective measurement attributes in cloud domain increasingly attractive as techniques improve accuracy reduce computational Analys...

This paper tackles the problem of estimating the inlier threshold in RANSAC-like approaches to multiple models fitting. An iterative approach finds the maximum of a score function which resembles the Silhouette index used in clustering validation. Although several methods have been proposed to solve this problem for the single model case, this is the first attempt to address multiple models. Ex...