Essays about: "detektering av flera objekt"

Showing result 6 - 10 of 11 essays containing the words detektering av flera objekt.

1. 6. Privacy-preserving Building Occupancy Estimation via Low-Resolution Infrared Thermal Cameras

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

   Author : Shuai Zhu; [2021]
   Keywords : Building occupancy estimation; People counting; Privacy-preserving; Low-resolution thermal camera; Multiple Object Detection; Multiple Object Tracking; Uppskattning av bebyggelse; personräkning; integritetsbevarande; värmekamera med låg upplösning; detektering av flera objekt; spårning av flera objekt;

   Abstract : Building occupancy estimation has become an important topic for sustainable buildings that has attracted more attention during the pandemics. Estimating building occupancy is a considerable problem in computer vision, while computer vision has achieved breakthroughs in recent years. READ MORE

3. 7. Stability of a Vision Based Platooning System

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

   Author : Ann Köling; Kristina Kjellberg; [2021]
   Keywords : Adaptive Cruise Control; Aruco markers; Realtime visual tracking; Vehicle platooning; Vision-based control;

   Abstract : The current development of autonomous vehiclesallow for several new applications to form and evolve. One ofthese are platooning, where several vehicles drive closely togetherwith automatic car following. The method of getting informationabout the other vehicles in a platoon can vary. One of thesemethods is using visual information from a camera. READ MORE

4. 8. Radar Target detection using Cell Evaluation Method for Industrial Safety

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

   Author : Praanesh Sambath; [2020]
   Keywords : Functional Safety System; Conventional methods; Cell Evaluation Method; Radar Target detection; Angular Estimation.; Maskinsäkerhet; CFAR; Radar detection; Angular Estimation.;

   Abstract : The main aim of using radars in industrial safety system is to detect the presence of target accurately. The conventional methods of radar target detection algorithm such as the Cell averaging constant false alarm rate method (CA-CFAR), Greatest of constant false alarm method (GO-CFAR) and the Smallest of constant false alarm rate method (SO-CFAR) has their own disadvantage when it comes to precise target detection which is a key factor for a safety system. READ MORE

5. 9. A One-stage Detector for Extremely-small Objects Based on Feature Pyramid Network

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

   Author : Yini Gao; [2020]
   Keywords : ;

   Abstract : Thanks to the recent development in Graphics Processing Unit (GPU) and deep neural network, outstanding enhancement has been made in real-time and multi-scale object detection. However, most of these detectors ignore the situations where the target needs to be identified is extremely-small corresponding to the size of the image or video. READ MORE

6. 10. Deep Active Learning for 3D Object Detection for Autonomous Driving

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

   Author : Xiao Wei; [2019]
   Keywords : ;

   Abstract : 3D object detection is vital for autonomous driving. However, to train a 3D detector often requires a huge amount of labeled data which are extremely expensive and tedious to obtain. READ MORE