Essays about: "Road surface classification"

Showing result 1 - 5 of 11 essays containing the words Road surface classification.

1. 1. Machine Learning on Terrain Data and Logged Vehicle Data to Gain Insights into Operating Conditions for an Articulated Hauler : Machine Learning on Terrain Data and Logged Vehicle Data to Gain Insights into Operating Conditions for an Articulated Hauler

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Tianren Sun; Yen Chieh Wang; [2022]
   Keywords : CNN; Data Driven Manufacturing; Microsoft Azure Maps; Machine; Learning ML ; Road Surface; Topography;

   Abstract : Manufacturers can develop next-generation production and service for their customers by the data gathered and analyzed from customers’ usage conditions. In this research, the operating condition of articular haulers is collected and analyzed through machine learning algorithms to predict the type of operational topographies and road surface. READ MORE

3. 2. Surface Classification with Millimeter-Wave Radar for Constant Velocity Devices using Temporal Features and Machine Learning

   University essay from Lunds universitet/Matematisk statistik

   Author : David Montgomery; Gaston Holmén; [2019]
   Keywords : Machine Learning; Surface Classification; Feature Extraction; Autonomous Devices; Millimeter-wave Radar; Mathematics and Statistics;

   Abstract : Classification of surfaces in the near field using millimeter-wave radar commonly considers the use of polarization based methods for road condition monitoring. When a surface consists of larger structures one instead wishes to monitor the surface topography. READ MORE

4. 3. Multi-Task Learning using Road Surface Condition Classification and Road Scene Semantic Segmentation

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Jesper Westell; [2019]
   Keywords : Computer Vision; Deep Learning; Machine Learning; Convolutional Neural Networks; Classification; Semantic Segmentation;

   Abstract : Understanding road surface conditions is an important component in active vehicle safety. Estimations can be achieved through image classification using increasingly popular convolutional neural networks (CNNs). READ MORE

5. 4. Using supervised learning algorithms to model the behavior of Road Weather Information System sensors

   University essay from Luleå tekniska universitet/Datavetenskap

   Author : Tobias Axelsson; [2018]
   Keywords : machine learning; supervised learning; road condition monitoring; road weather information system;

   Abstract : Trafikverket, the agency in charge of state road maintenance in Sweden, have a number of so-called Road Weather Information Systems (RWIS). The main purpose of the stations is to provide winter road maintenance workers with information to decide when roads need to be plowed and/or salted. READ MORE

6. 5. Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset

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

   Author : Agneev Guin; [2018]
   Keywords : Semantic segmentation; Deep learning; Gabor filters; Drivable surfaces;

   Abstract : Autonomous vehicles face various challenges under difficult terrain conditions such as marginally rural or back-country roads, due to the lack of lane information, road signs or traffic signals. In this thesis, we investigate a novel approach of using Deep Neural Networks (DNNs) to classify off-road surfaces into the types of terrains with the aim of supporting autonomous navigation in unstructured environments. READ MORE