Essays about: "Computer networks thesis"

Showing result 11 - 15 of 225 essays containing the words Computer networks thesis.

1. 11. 2D object detection and semantic segmentation in the Carla simulator

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

   Author : Chen Wang; [2020]
   Keywords : Object-detectiopn; Semantic segmentation; Yolov4; ESPnetv2; Carla; Objekt-detectiopn; semantisk segmentering; Yolov4; ESPnetv2; Carla;

   Abstract : The subject of self-driving car technology has drawn growing interest in recent years. Many companies, such as Baidu and Tesla, have already introduced automatic driving techniques in their newest cars when driving in a specific area. However, there are still many challenges ahead toward fully autonomous driving cars. READ MORE

3. 12. Vehicle Path Prediction Using Recurrent Neural Network

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Mim Kemal Tekin; [2020]
   Keywords : computer vision; autonomous driving; deep learning; uncertainty in deep learning;

   Abstract : Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using only visual data collected by a front vision sensor. READ MORE

4. 13. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

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

   Author : Ajinkya Khoche; [2020]
   Keywords : ;

   Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE

5. 14. Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)

   University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

   Author : Anton Moberg; [2020]
   Keywords : Neuroevolution; genetic algorithm; machine learning; ML; CHEAT; Childhood Habituation in Evolution of Augmenting Topologies; optimization; artificial neural network; self evolving; model selection; Physics and Astronomy;

   Abstract : Neuroevolution is a field within machine learning that applies genetic algorithms to train artificial neural networks. Neuroevolution of Augmenting Topologies (NEAT) is a method that evolves both the topology of the network and trains the weights of the network at the same time, and has been found to successfully solve reinforcement learning problems efficiently and the XOR problem with a minimal topology. READ MORE

6. 15. Deep Learning based Video Super- Resolution in Computer Generated Graphics

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

   Author : Vinit Jain; [2020]
   Keywords : Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.; Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.;

   Abstract : Super-Resolution is a widely studied problem in the field of computer vision, where the purpose is to increase the resolution of, or super-resolve, image data. In Video Super-Resolution, maintaining temporal coherence for consecutive video frames requires fusing information from multiple frames to super-resolve one frame. READ MORE