Essays about: "In vehicle information"
Showing result 1 - 5 of 601 essays containing the words In vehicle information.
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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. Are consumers inattentive to fuel saving for Electric Vehicles? A stated choice experiment
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : The transition to electric vehicles (EVs) is a crucial component of the global green transition within the transport sector, where EVs are often characterized by higher initial costs. This study investigates whether enhancing the salience of fuel savings information influences consumer decisions towards EVs, amidst criticisms of manufacturers like Tesla for leveraging such information in marketing strategies. READ MORE
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3. Elite Athletes’ Travel Behaviour to/from Sport Events : A Case Study of Biathlon
University essay from Mittuniversitetet/Institutionen för ekonomi, geografi, juridik och turismAbstract : This thesis analyses how elite athletes travel to/from sport events and which barriers prevent them from engaging in a more sustainable travel behaviour. For this purpose, unstructured interviews with elite athletes were conducted to gain an in-depth understanding about travel experiences and decision-making from elite athletes’ perspective. READ MORE
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4. 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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5. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction
University essay from Lunds universitet/Matematik LTHAbstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE