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Found 6 papers, 0 papers with code
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection
In this work, we propose a novel framework for real-time LiDAR odometry and mapping based on LOAM architecture for fast moving platforms.
Rice Plant Disease Detection and Diagnosis using Deep Convolutional Neural Networks and Multispectral Imaging
Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet.
RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model
Satellite imagery generation and super-resolution are pivotal tasks in remote sensing, demanding high-quality, detailed images for accurate analysis and decision-making.
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
Multi-Task Learning (MTL) is a powerful technique that has gained popularity due to its performance improvement over traditional Single-Task Learning (STL).
Robust Real-Time Pedestrian Detection on Embedded Devices
Detection of pedestrians on embedded devices, such as those on-board of robots and drones, has many applications including road intersection monitoring, security, crowd monitoring and surveillance, to name a few.
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
Semantic segmentation of 3D point cloud data is essential for enhanced high-level perception in autonomous platforms.
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LIDAR Semantic Segmentation
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