Essays about: "Cityscapes"

Showing result 16 - 20 of 25 essays containing the word Cityscapes.

  1. 16. Domain-Independent Moving Object Depth Estimation using Monocular Camera

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Cesar Nassir; [2018]
    Keywords : Robotics; Deep Learning; Computer Vision; Depth Estimation;

    Abstract : Today automotive companies across the world strive to create vehicles with fully autonomous capabilities. There are many benefits of developing autonomous vehicles, such as reduced traffic congestion, increased safety and reduced pollution, etc. To be able to achieve that goal there are many challenges ahead, one of them is visual perception. READ MORE

  3. 17. Segmentation and Depth Estimation of Urban Road Using Monocular Camera and Convolutional Neural Networks

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Addi Djikic; [2018]
    Keywords : AI; ANN; CNN; semantic; segmentation; autonomous; Scania; driving; road; pixel; classification; regression; real time; monocular; depth; estimation; convolutional; neural; networks; deep; learning; perception; camera; vehicles; supervised; tensorflow; Cityscapes; machine learning; autoencoder; decoder; encoder;

    Abstract : Deep learning for safe autonomous transport is rapidly emerging. Fast and robust perception for autonomous vehicles will be crucial for future navigation in urban areas with high traffic and human interplay. Previous work focuses on extracting full image depth maps, or finding specific road features such as lanes. READ MORE

  4. 18. Instance-level Semantic Segmentation by Deep Normalized Cuts

    University essay from Lunds universitet/Matematik LTH

    Author : Alexander Davidson; [2017]
    Keywords : Deep learning; Machine learning; Convolutional neural networks; Normalized cuts; Spectral clustering; Instance-level semantic segmentation; Mathematics and Statistics;

    Abstract : Instance-level semantic segmentation refers to the task of assigning each pixel in an image an object class and an instance identity label. Due to its complexity, this problem has received little attention by the research community in the past. However, owing to the recent successes of deep learning technology, solving it suddenly seems possible. READ MORE

  5. 19. General Object Detection Using Superpixel Preprocessing

    University essay from Linköpings universitet/Datorseende

    Author : Marcus Wälivaara; [2017]
    Keywords : superpixels; SLIC; coarse-to-fine; segmentation; general object detection; cityscapes; traffic; image processing; clustering;

    Abstract : The objective of this master’s thesis work is to evaluate the potential benefit of a superpixel preprocessing step for general object detection in a traffic environment. The various effects of different superpixel parameters on object detection performance, as well as the benefit of including depth information when generating the superpixels are investigated. READ MORE

  6. 20. Semantic Segmentation : Using Convolutional Neural Networks and Sparse dictionaries

    University essay from Linköpings universitet/Datorseende

    Author : Viktor Andersson; [2017]
    Keywords : convolution neural network; sparse dictionaries; cnn; computer vision; machine learning; road scene; artificial intelligence; neuronnät; maskininlärning; datorseende; aetificiell intelligens; cnn;

    Abstract : The two main bottlenecks using deep neural networks are data dependency and training time. This thesis proposes a novel method for weight initialization of the convolutional layers in a convolutional neural network. This thesis introduces the usage of sparse dictionaries. READ MORE