Essays about: "vehicle features"
Showing result 1 - 5 of 202 essays containing the words vehicle features.
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1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
University essay from Uppsala universitet/Signaler och systemAbstract : 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
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2. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. READ MORE
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3. CNN-LSTM architecture for predicting hazardous driving situations
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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
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4. Audio Anomaly Detection in Cars
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. READ MORE
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5. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE