Changes between Version 4 and Version 5 of Other/Summer/2022/Active
- Timestamp:
- Dec 9, 2022, 8:37:45 AM (18 months ago)
Legend:
- Unmodified
- Added
- Removed
- Modified
-
Other/Summer/2022/Active
v4 v5 16 16 17 17 == Week 1 Activities == 18 Download ed videos of car approaching stop sign (Youtube)19 Video Processing Using Python (cutting, concentration, noise cancellation etc.) 20 Work with ROS and Python to implement a program to estimate the total stopping distance of a vehicle based on its speed 21 Familiarize with Orbit/Cosmos testbed and procedures 22 Set up development environment and necessary tools 18 Download videos of car approaching stop sign (Youtube). 19 Learn Video Processing Using Python (cutting, concentration, noise cancellation etc). 20 Work with ROS and Python to implement a program to estimate the total stopping distance of a vehicle based on its speed. 21 Familiarize with Orbit/Cosmos testbed and procedures. 22 Set up development environment and necessary tools. 23 23 24 24 25 25 == Week 2 Activities == 26 26 Look into achieving a program to calculate distance of car to stop sign at the parking lot outside. Our project will be the first step in a major multi-step project that will allow a car to operate autonomously. 27 Familiarize ourselves with NJ MVC Driving Laws 28 Find related studies and Youtube videos relating to AI detection 29 Begin researching on object and motion detection techniques 27 Familiarize ourselves with NJ MVC Driving Laws. 28 Find related studies and Youtube videos relating to AI detection. 29 Begin researching on object and motion detection techniques. 30 30 31 31 == Week 3 Activities == 32 Implement basic object detection algorithm using OpenCV and Python 33 Implement the videos to YOLO (Real time Object Detection) 34 Collect more VIDEOS and compare the theoretical results to experimental results 35 identify the suitable camera 32 Implement basic object detection algorithm using OpenCV and Python. 33 Implement the videos to YOLO (Real time Object Detection). 34 Collect more VIDEOS and compare the theoretical results to experimental results. 35 identify the suitable camera. 36 36 37 37 38 38 == Week 4 Activities == 39 Research related Datasets and codes, and create our own dataset 40 Choose images and check if its correc 41 Install the required packages & run the code in Python Integrated Environment 42 Learn image Processing 39 Research related Datasets and codes, and create our own dataset. 40 Choose images and check if its correct. 41 Install the required packages & run the code in Python Integrated Environment. 42 Learn image Processing. 43 43 44 44 45 45 46 46 == Week 5 Activities == 47 Build upon the object detection algorithm from the previous week and develop a motion detection algorithm 48 Test and evaluate the performance of the motion detection algorithm on various videos 49 Optimize the algorithm for maximum accuracy and speed 47 Build upon the object detection algorithm from the previous week and develop a motion detection algorithm. 48 Test and evaluate the performance of the motion detection algorithm on various videos. 49 Optimize the algorithm for maximum accuracy and speed. 50 50 51 51 == Week 6 Activities == 52 Implement the AI driver assistant module to promote driver safety 53 Integrate the object and motion detection algorithms with the AI driver assistant module 52 Implement the AI driver assistant module to promote driver safety. 53 Integrate the object and motion detection algorithms with the AI driver assistant module. 54 54 Test and evaluate the performance of the AI driver assistant module 55 55 56 56 == Week 7 Activities == 57 Research and implement ways to improve the accuracy and reliability of the AI driver assistant 58 Test and evaluate the performance improvements made to the AI driver assistant 57 Research and implement ways to improve the accuracy and reliability of the AI driver assistant. 58 Test and evaluate the performance improvements made to the AI driver assistant. 59 59 60 60 == Week 8 Activities == 61 Begin working on integrating the AI driver assistant with the ROS framework 62 Test and debug the integration of the AI driver assistant with ROS 61 Begin working on integrating the AI driver assistant with the ROS framework. 62 Test and debug the integration of the AI driver assistant with ROS. 63 63 64 64 == Week 9 Activities == 65 Complete the integration of the AI driver assistant with ROS 66 Test and evaluate the performance of the AI driver assistant within the ROS framework 65 Complete the integration of the AI driver assistant with ROS. 66 Test and evaluate the performance of the AI driver assistant within the ROS framework. 67 67 68 68 == Week 10 Activities == 69 Conduct final tests and evaluations of the AI driver assistant system 70 Prepare a poster board that summarized the methodology, results, and applications of the project 71 Document and present the results and findings of the internship project to the team 69 Conduct final tests and evaluations of the AI driver assistant system. 70 Prepare a poster board that summarized the methodology, results, and applications of the project. 71 Document and present the results and findings of the internship project to the team.
