Essays about: "car camera"

Showing result 1 - 5 of 79 essays containing the words car camera.

  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. ROS-based implementation of a model car with a LiDAR and camera setup

    University essay from Uppsala universitet/Signaler och system

    Author : Marcus Nises; [2023]
    Keywords : LiDAR; ROS; stereoscopic camera; SLAM; Linux; rplidar a1; raspberry pi;

    Abstract : The aim of this project is to implement a Radio Controlled (RC) car with a Light Detection and Ranging (LiDAR) sensor and a stereoscopic camera setup based on the Robot Operating System (ROS) to conduct Simultaneous Localization and Mapping (SLAM). The LiDAR sensor used is a 2D LiDAR, RPlidar A1, and the stereoscopic camera setup is made of two monocular cameras, Raspberry Pi Camera v2. READ MORE

  4. 3. F.I.R.E.S.A.F.E : Automatic fire extinguisher using thermal imaging

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Axel Strömbäck; Linus Sjöstrand; [2023]
    Keywords : Mechatronics; Thermal Imaging; Fire extinguisher; Raspberry Pi; Turret; Mekatronik; Värmekamera; Brandsläckare; Raspberry Pi; Kanontorn;

    Abstract : The purpose of this bachelor’s thesis was to create a functioning turret that can recognize heat sources and automatically shoot water at them using a thermal camera and water pump. The main areas to research was the cameras capability regarding fire detection and also the turret’s efficacy in putting out fires using this detection. READ MORE

  5. 4. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing

    University essay from Uppsala universitet/Signaler och system

    Author : Anton Lind; [2023]
    Keywords : ADAS; AD; ADS; HIL; Hardware in the loop; Hardware-in-the-loop; ECU; VCU; Automotive; Embedded; System; Systems; Camera; Image; Video; Injection; FPGA; MPSoC; Vivado; Vitis; VHDL; Volvo; Cars; FMC; HPC; LPC; MIPI CSI2; GMSL2; AMBA AXI4; Xilinx; RTL; Implementation; Synthesis; Intelectual Property; IP; Vehicle computing unit; Electronic control unit; TEB0911; TEF0007; TEF0010; CSI2 Tx; CSI2 Tx Subsystem; Zynq; SerDes; AXI4; AXI4-Lite; Programmable Logic; PL; Processor System; PS; C; C ; Video test pattern generator; VTPG; Axi traffic generator; ATG; Ultrascale ; Virtual input output; VIO; Integrated logic analyzer; ILA; Interface Unit;

    Abstract : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). READ MORE

  6. 5. The influence of neural network-based image enhancements on object detection

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Eric Pettersson; Muhammed Al Khayyat; [2023]
    Keywords : Object detection; YOLO; image enhancement; ESRGAN; Zero-DCE;

    Abstract : This thesis investigates the impact of image enhancement techniques on object detection for carsin real-world traffic scenarios. The study focuses on upscaling and light correction treatments andtheir effects on detecting cars in challenging conditions. Initially, a YOLOv8x model is trained on clear static car images. READ MORE