the method comprising:a) receiving, at a processor, two-dimensional image data from an optical camera;b) generating, by the processor, an attention region in the two-dimensional image data, the attention region marking an object of interest;c) receiving, at the processor, ...
The three main methods to explore for occluded crosswalk detection are: Fig. 2 presents the three methods using an example of location A from the testing area. The primary task is to develop the CNN-VGG16 network to detect marked crosswalks from aerial or street view images. Subsequently, ...
Many robotic platforms used for this purpose employ expensive sensors and focus only on performance and not the implementation. A LIDAR sensor, for instance, could cost $5,000. A lower cost solution was developed herein. Less expensive, off-the-shelf components were used so that robots could ...
identified by projecting all nearby points/regions to a candidate point/region onto the plane defined by the candidate point/region's normal vector, and looking for looking for empty quadrants, areas above a certain size, or ranges of angles in polar coordinates (with the main point at the ...
In recent years, there has been significant progress in 3D object detection models based on LIDAR data for self-driving applications. A multitude of frameworks and projects have been proposed, each with its own unique approach to addressing the challenges of detecting and tracking objects in a 3D...
Thus, the improvement of previous algorithms or definition of new algorithms is necessary. 1.2. Problem Statement Flood routing is nonlinear and multimodal, with noise. The most widely used model for flood routing is the Muskingum model. One of the main components of the Muskingum model procedure...
Main conclusions have been summarized in Section 4. 2. Materials and Methods This study takes as a reference the cloud amount values registered by a meteorological observer at the airport of Manises (Valencia), located 5 km SW from the Burjassot campus, at the synoptic hours 7, 13, and 18...
Three types of remote-sensing data are currently available for biomass estimation: optical sensor data, radar data, and LiDAR data [3,4,7]. Each of these has its own advantages and disadvantages for estimating biomass. Optical remote sensing can be used for continuous estimation of forest biomas...
We present two main modules, the self-enhanced module, and the mixed attention module. The former uses different convolutional layers to enhance the similar feature information of the same modality, it also amplifies the differences between the foreground feature and the background feature. The ...
4.1.2. Evaluation of Precipitation Distribution Figure 7 shows the spatial distribution map of the 2020 precipitation for eight types of precipitation data. Taking the CMA data as the benchmark precipitation, both GNRT and GNOW overestimate the actual precipitation in the entire basin, especially in...