The Pixy2 is an improvement on the original. It is smaller, faster and has a fixed focus lens. It is also much more powerful. Unlike the original Pixy Cam, the Pixy2 was not a crowdfunded project, Charmed Labs designed and built the Pixy2 using the profits made from sales of the ori...
As the vehicle examines the rail tracks by image processing method with ESP32 CAM as well as an ultrasonic sensor, IR sensor, and NPN proximity sensors sense to detect the cracks and other components which can be the cause of derailments of the rail line. A dedicated application is built ...
One detection head is responsible for object recognition, which is measured using the loss function consisting of complete intersection over union loss and dual focal loss. The other detection head handles the classification task using the binary cross entropy loss function. 2.3. CSMB module Owing ...
We rethink the segment anything model (SAM) and propose a novel multiprompt network called COMPrompter for camouflaged object detection (COD). SAM has zero-shot generalization ability beyond other models and can provide an ideal framework for COD. Our network aims to enhance the single prompt str...
Standard model responses return up to 9 elements of this field. It may be necessary to request more of this field using the 'a' flag. List of the configured axes move.axes[].acceleration Acceleration of this axis (in mm/s^2) move.axes[].babystep ...
machines Review Object Detection and Distance Measurement in Teleoperation Ailing Zhang 1 , Meng Chu 2, Zixin Chen 3, Fuqiang Zhou 2 and Shuo Gao 2,* 1 School of Computer Science and Engineering, Beihang University, Beijing 100191, China; 19375203@buaa.edu.cn 2 School of Instrumentation and ...
applied sciences Review Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems Edgar Cortés Gallardo Medina 1, Victor Miguel Velazquez Espitia 1, Daniela Chípuli Silva 1, Sebastián Fernández Ruiz de las Cuevas 1,2, Marco Palacios Hirata 1 , ...
Keywords: convolutional neural networks; Unmanned Aerial Vehicle (UAV); object recognition and detection 1. Introduction There are a wide range of applications for unmanned aerial vehicles (UAVs) in the civil engineering field. A few applications include but are not limited to coastline observation, ...
In this paper, a robust Multiple Object Detection and Tracking (MODT) algorithm for a non-stationary base is presented, using multiple 3D LiDARs for perception. The merged LiDAR data is treated with an efficient MODT framework, considering the limitations of the vehicle-embedded computing ...
5. CIonntchluissipoanpser, a fast approach to texture-less object detection is proposed, which is a two-stage template-based procedure using an orientation compressing map and discriminative regional weight. PossibIlne tohbisjepctaploecra, taiofnasstaarpepprroeadcihctteodtebxytuerme-plelossyionbgj...