Realtime Multispectral Pedestrian Detection With Visible and Far-Infrared Under Ambient Temperature Changing by Masato Okuda, Kota Yoshida, Takeshi Fujino

“…Moreover, our YOLOv8s-2stream has improved by 3.9 points of accuracy (AP@0.5:0.95) compared to YOLOv8s-4ch, and achieved 73 FPS inference speed on Jetson.…”
Get full text

Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…The method’s performance is demonstrated on different hardware platforms, including energy-efficient Nvidia Jetson Xavier AGX. With parallel code implementation, we achieve an input stereo image processing speed of 14 frames per second on Xavier AGX.…”
Get full text

LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

“…Experimental results show that both LEAF-YOLO and LEAF-YOLO-N outperform models with fewer than 20 million parameters in accuracy and efficiency on the Visdrone2019-DET-val dataset, running in real-time (>30 FPS) on the Jetson AGX Xavier. LEAF-YOLO-N achieves 21.9% AP.50:.95 and 39.7% AP.50 with only 1.2M parameters. …”
Get full text

MEAT-SAM: More Efficient Automated Tongue Segmentation Model by Fudong Zhong, Chuanbo Qin, Yue Feng, Junying Zeng, Xudong Jia, Fuguang Zhong, Jun Luo, Min Yang

“…Furthermore, MEAT-SAM can run effectively on the computationally limited Jetson Nano single-board computer, achieving similar segmentation effects as in experimental testing.…”
Get full text

Railway Foreign Object Intrusion Detection Using UAV Images and YOLO-UAT by Yang Yang, Zhanhao Liu, Junming Chen, Haiming Gao, Tao Wang

“…YOLO-UAT reduces the number of parameters by 36% compared to the original YOLOv5s and mAP increased by 6.1% to 91.5%. Implemented on a Jetson Nano, it achieves a detection rate of 26.4 FPS. …”
Get full text

Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach by Midhun P. Mathew, Sudheep Elayidom, V. P. Jagathy Raj, K. M. Abubeker

“…The developed DSC-TransNet model is deployed in NVIDIA Jetson Nano single board computer. This research contributes to advancing the field of automated plant disease classification, addressing critical challenges in modern agriculture and promoting more efficient and sustainable farming practices.…”
Get full text

Edge Computing-Based Machine Vision for Non-Invasive and Rapid Soft Sensing of Mushroom Liquid Strain Biomass by Libin Wu, Guimiao Xiao, Deyao Huang, Xiandong Zhang, Dapeng Ye, Haiyong Weng

“…In our experiment, the hardware of the Edge CV system includes the Jetson Nano with 4 GB RAM, 64 GB ROM, and a 128-core Maxwell GPU for executing intelligent machine vision tasks, along with embedded cameras for image data acquisition. …”
Get full text

PENGEMBANGAN SISTEM KOMBINASI KERJA REM, STEER, DAN TRAKSI BERBASIS LiDAR 3D UNTUK KENDARAAN LISTRIK OTONOM RODA TIGA by Fabian Akbar, Arief Suryadi Satyawan, Ike Yuni Wulandari, Prio Adjie Utomo, Riza Ayu Putri, I Gusti Ayu Putri Surya Paramita, Ni Kadek Emy Iswarawati, Rinda Safana Linggi

“…Adapun algoritma di kembangkan dengan menggunakan python pada Jetson AGX Xavier, sedangkan untuk memproses gerak kendali maneuver yang dihasilkan dilakukan pada Mikrokontroller Teensy 4.1. …”
Get full text

Improving Performance of Real-Time Object Detection in Edge Device Through Concurrent Multi-Frame Processing by Seunghwan Kim, Changjong Kim, Sunggon Kim

“…We implement our scheme in YOLO (You Only Look Once), one of the most popular real-time object detection algorithms, on a state-of-the-art, resource-constrained IoT edge device, Nvidia Jetson Orin Nano, using real-world video and image datasets, including MS-COCO, ImageNet, PascalVOC, DOTA, animal videos, and car-traffic videos. …”
Get full text

LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

“…Additionally, deployment on the NVIDIA Jetson AGX Orin edge computing device confirms its high real-time performance and suitability for underwater applications, further showcasing the exceptional capabilities of LFN-YOLO.…”
Get full text

EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…Additionally, real-time feasibility is validated on the NVIDIA Jetson Nano Developer Kit, achieving a real-time factor (RTF) of 0.17, demonstrating its practicality for wearable applications. …”
Get full text

The Application of an Intelligent <i>Agaricus bisporus</i>-Harvesting Device Based on FES-YOLOv5s by Hao Ma, Yulong Ding, Hongwei Cui, Jiangtao Ji, Xin Jin, Tianhang Ding, Jiaoling Wang

“…The harvesting control system, using a Jetson Orin Nano as the main controller, adopted an S-curve acceleration and deceleration motor control algorithm. …”
Get full text

A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Prominent IoT devices tailored to integrate edge intelligence include Raspberry Pi, NVIDIA’s Jetson, Arduino Nano 33 BLE Sense, STM32 Microcontrollers, SparkFun Edge, Google Coral Dev Board, and Beaglebone AI. …”
Get full text

Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…The model operated on the Jetson Xavier NX controller, which was a high-performance, low-power computing platform designed for edge computing. …”
Get full text