Essays about: "model driving"

Showing result 1 - 5 of 865 essays containing the words model driving.

1. 1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

   University essay from Uppsala universitet/Signaler och system

   Author : Jonas Wedén; [2024]
   Keywords : Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

   Abstract : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. READ MORE

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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Abstract : 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. READ MORE

4. 3. CNN-LSTM architecture for predicting hazardous driving situations

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Noomi Lindblad; Stefani Platakidou; [2023-10-05]
   Keywords : Data science; Machine learning; LSTM; CNN; Vehicle data; Hazardous driving situation; Deep learning;

   Abstract : This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of three-second-long driving snippets from customer and development trucks registered within Europe. READ MORE

5. 4. Challenges in Specifying Safety-Critical Systems with AI-Components

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
   Keywords : Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

   Abstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE

6. 5. Digitalization and Electrification´s Transformational Impact on the Automotive Mobility Industry - A multiple case study on the Swedish automotive mobility industry facing changing business models, challenges, and future opportunities

   University essay from Göteborgs universitet/Graduate School

   Author : Max Guron; [2023-07-19]
   Keywords : Digitalization; Electrification; Business model; Business model framework; Business model innovation; Technological Change; Industrial Change; Disruptive technology; Automotive Mobility; Automotive Industry; Mobility services; Car-sharing; Automotive manufacturers; Car-sharing providers; ride-hailing providers;

   Abstract : The automotive mobility industry, including car manufactures, car-sharing, and ride-hailing companies, is experiencing technological change through electrification and digitalization. These two trends can potentially disrupt the whole industry through, i.e. READ MORE