Sökning: "Driving tasks"

Visar resultat 1 - 5 av 154 uppsatser innehållade orden Driving tasks.

1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xinchen Wang; [2024]
   Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

   Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

3. 2. Evaluation of The Impact of Automated Driven Vehicles on Traffic Performance at Four-leg Signalized Intersections

   Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

   Författare :Ahmed Osman; [2023]
   Nyckelord :Automated driven vehicles; Microscopic simulation; PTV VISSIM; Traffic performance; signalized intersection;

   Sammanfattning : Intersections, particularly four-leg signalized intersections, are frequent sites of traffic congestion in urban areas. This congestion can lead to delays, increased travel time, and a negative impact on traffic performance and quality of life for people. LÄS MER

4. 3. Automated annotation scheme for extending bounding box representation to detect ship locations.

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Oksana Havryliuk; [2023]
   Nyckelord :;

   Sammanfattning : Bounding boxes often provide limited information about the shape and location of an object on an image. Their limitations lie in their reduced ability to correctly represent objects that have complex shapes or are located at an angle. LÄS MER

5. 4. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Simon Ekman von Huth; [2023]
   Nyckelord :Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

   Sammanfattning : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. LÄS MER

7. 5. Ekonomidirektörens roll för ett lyckat företagsförvärv : En kvalitativ studie om affärsledarskap i förvärvsprocessen

   Magister-uppsats, Linnéuniversitetet/Institutionen för management (MAN)

   Författare :Fanny Olsson; [2023]
   Nyckelord :M A; CFO; Företagsförvärv; Affärsledarskap; Ekonomidirektör;

   Sammanfattning : Abstract Master Thesis (4FE18E), Master of Science in Business and Economics, School of Business and Economics at Linnaeus University in Växjö, Spring 2023 Titel: The CFO’s role for a successful acquisition A qualitative study of business leadership in the acquisition process Background & problem: An acquisition is created when a company buys another company through a negotiation that meets certain technical, financial and legal criterias. There are three different types of acquisitions which are horizontal, vertical and cross-border, all of which have different purposes and underlying motives. LÄS MER