Sökning: "modal areas"

Visar resultat 1 - 5 av 38 uppsatser innehållade orden modal areas.

1. 1. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

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

   Författare :August Söderlund; [2023]
   Nyckelord :Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

   Sammanfattning : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. LÄS MER

3. 2. Autonomous shuttle buses : A multiple-case study evaluating to what extent autonomous shuttle buses contribute to achieve sustainable mobility in Lindholmen and Barkarbystaden

   Master-uppsats, Stockholms universitet/Kulturgeografiska institutionen

   Författare :Haddyjatou Njie; [2023]
   Nyckelord :Autonomous shuttle bus; Sustainable mobility; Spatial planning; Urban policy; Urban design; Barkarbystaden; Lindholmen; Multiple-case study;

   Sammanfattning : Travelling and moving within urban areas in a sustainable way acquires a transition toward sustainable commuting modes. An approach to reaching the transition is recognised as sustainable mobility. According to smart mobility research, autonomous shuttle buses could contribute to achieve sustainable mobility in urban areas. LÄS MER

4. 3. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

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

   Författare :Jin Wanqi; [2023]
   Nyckelord :Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

   Sammanfattning : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. LÄS MER

5. 4. Assessment of Ground Vibration for Early-Stage Design

   Master-uppsats, KTH/Bro- och stålbyggnad

   Författare :Fadi Rafea Jameel Jameel; Patrick Francesco Joseph; [2022]
   Nyckelord :;

   Sammanfattning : Ground borne vibrations in urban areas can be caused by human activities such as railwayand road traffic, construction works and industrial manufacturing. These vibrations can playa significant role in human comfort and the disruption of vibration sensitive equipment inbuildings. LÄS MER

7. 5. VL Tasks: Which Models Suit? : Investigate Different Models for Swedish Image-Text Relation Task

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

   Författare :Meinan Gou; [2022]
   Nyckelord :BERT; Visual-Language; Language Understanding; Object Detection; Multimodality; BERT; Visual-Language; Språkförståelse; Objektdetektion; Multimodalitet;

   Sammanfattning : In common sense, modality measures the number of areas a model covers. Multi-modal or cross-modal models can handle two or more areas simultaneously. Some common cross-models include Vision-Language models, Speech-Language models, and Vision-Speech models. LÄS MER