Essays about: "Real time object detection"

Showing result 11 - 15 of 137 essays containing the words Real time object detection.

1. 11. Real Time Vehicle Detection for Intelligent Transportation Systems

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Elda Shurdhaj; Ulehla Christián; [2023]
   Keywords : Unmanned aerial vehicles UAVs ; vehicle detection; CNN architecture; snow cover; NVD; Yolov5s; Yolov8s; Faster R-CNN; real-time processing; edge devices;

   Abstract : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. READ MORE

3. 12. Investigation regarding the Performance of YOLOv8 in Pedestrian Detection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jonatan Jönsson Hyberg; Adam Sjöberg; [2023]
   Keywords : Autonomous Cars; Machine Learning; YOLOv8; Pedestrian Detection;

   Abstract : Autonomous cars have become a trending topic as cars become better and better at driving autonomously. One of the big changes that have allowed autonomous cars to progress is the improvements in machine learning. Machine learning has made autonomous cars able to detect and react to obstacles on the road in real time. READ MORE

4. 13. Road damage detection withYolov8 on Swedish roads

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Martin Eriksson; [2023]
   Keywords : Ensemble learning; Object Detection; Yolov8; Yolov5; Object Detection on smartphone;

   Abstract : This thesis addresses the problem of Road Damage Detection using object detection models,Yolov8 and Yolov5. While Yolov5 has been utilized in prior road damage detection projects, thiswork introduces the application of the newly released Yolov8 model to this domain. READ MORE

5. 14. A Study on Fault Tolerance of Object Detector Implemented on FPGA

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tiancheng Yang; [2023]
   Keywords : Object detection; YOLO-v3-tiny; Fault tolerance; FPGA; VHDL; Hardware accelerator; Triple-modular redundancy; Time redundancy; Stuck-at-faults;

   Abstract : Objektdetektering har fått stort forskningsintresse de senaste åren, eftersom det är maskiners ögon och är en grundläggande uppgift inom datorseende som syftar till att identifiera och lokalisera föremål av intresse. Hårdvaruacceleratorer syftar vanligtvis till att öka genomströmningen för realtidskrav samtidigt som energiförbrukningen sänks. READ MORE

6. 15. Digital Twin for Firmware and Artificial Intelligence prototyping

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Gianluca Maragno; [2023]
   Keywords : Digital Twin; Industry 4.0; SystemC; MCU; TLM; sensors; MEMS; Machine Learning; Artificial Intelligence; simulations; testing; correct-by-design.; Digital Tvilling; Industri 4.0; SystemC; MCU; TLM; sensorer; MEMS; Maskininlärning; Artificiell Intelligens; simuleringar; testning; korrekt-från-design.;

   Abstract : The forth industrial revolution has risen the born of new mega trends for the improvement of the time to market and the spare of resources in the development and manufacturing of a new product. Among these trends, the Digital Twin (DT) is the one of major interests for developers and strategy analysts. READ MORE