A review of embedded machine learning based on hardware, application, and sensing scheme
Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
Deep learning-based real-time object detection for empty-dish recycling robot
The world is facing a shrinking workforce by the sagging birth rate and an aging population.
Robot techniques are one of the best solutions for taking place of humans and overcoming …
Robot techniques are one of the best solutions for taking place of humans and overcoming …
Real-time object detection using a domain-based transfer learning method for resource-constrained edge devices
This paper presents a domain-based transfer learning method for deep learning-based
object detection models where the method enables real-time computation in resource …
object detection models where the method enables real-time computation in resource …
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?
Within a perception framework for autonomous mobile and robotic systems, semantic
analysis of 3D point clouds typically generated by LiDARs is key to numerous applications …
analysis of 3D point clouds typically generated by LiDARs is key to numerous applications …
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?
S Abou Haidar, A Chariot, M Darouich… - … , and Navigation for …, 2024 - cea.hal.science
Within a perception framework for autonomous mobile and robotic systems, semantic
analysis of 3D point clouds typically generated by LiDARs is key to numerous applications …
analysis of 3D point clouds typically generated by LiDARs is key to numerous applications …
360-degree Image Processing on NVIDIA Jetson Nano
A wide field of vision is required for autonomous electric vehicles to operate object-detecting
systems. By identifying objects, it is possible to imbue the car with human intelligence …
systems. By identifying objects, it is possible to imbue the car with human intelligence …
Cultivating Precision: Unmanned Aerial Vehicle Retrieval Enhancement through Computer Vision in Ground Robot Recovery Missions
SE Clar, CAG Banglos, JC Pao… - 2023 IEEE 15th …, 2023 - ieeexplore.ieee.org
Robot exploration is a rapidly advancing domain within robotics, with applications ranging
from disaster relief to space exploration. Unmanned aerial vehicles (UAVs), commonly …
from disaster relief to space exploration. Unmanned aerial vehicles (UAVs), commonly …
Scene identification using visual semantic segmentation and supplementary classifier for resource-constrained edge systems
This paper presents a scene identification method employing semantic segmentation where
the method provides real-time computation in resource-constrained edge devices. Scene …
the method provides real-time computation in resource-constrained edge devices. Scene …