Essays about: "segmentation cars"
Showing result 1 - 5 of 17 essays containing the words segmentation cars.
-
1. Structure from Motion with a Neural Network
University essay from Lunds universitet/Matematik LTHAbstract : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. READ MORE
-
2. The Green Road to Luxury : Insights into the Perceptions of Sustainability in the Minds of Luxury Car Consumers
University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling; Linköpings universitet/Filosofiska fakultetenAbstract : Background The alarming speed of environmental degradation is enhancing the need to shift current production and consumption habits towards more sustainable ones. Luxury producers face the necessity to act following their responsibilities to stimulate sustainable sourcing, manufacturing, and marketing. READ MORE
-
3. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE
-
4. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : The purpose of this thesis was to explore deep learning methods of segmentation, classification and tracking of objects in LiDAR data. To do this a complete pipeline was developed, consisting of background filtering, clustering, tracking, labeling and visualization. READ MORE
-
5. Radar Detection Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE