Autotech : embedded systems for dynamic route navigation and obstacle avoidance

Abstract

The progress in automated driving technology has opened doors to enhance smart city mobility. Automated cars are becoming increasingly popular as the smart city agenda gains momentum. Incorporating autonomous driving systems through embedded technology further transforms urban mobility, providing outstanding comfort and effectiveness. Autonomous vehicles with embedded systems are commonly used to test a variety of algorithms and imitate real-world driving behaviour. These powerful computer systems are easily incorporated into automobiles, resulting in improvements in significance, safety, and performance. This technological integration not only improves the driving experience but also opens the door for new technologies like autonomous driving, connectivity, and advanced driver assistance systems (ADAS). As embedded systems grow more prevalent, they are changing the face of modern transportation, helping in a new era of smart and connected automobiles. This thesis analyses the enormous influence of embedded systems on the automobile industry and the creative solutions they provide to fulfil changing customer needs, improve vehicle performance, radically change vehicle safety, efficiency, and connection, and change the future of transportation. We explore their influence on these important areas using Tinkercad, a virtual prototyping environment. The research project explores the implementation of autonomous vehicle embedded systems for obstacle avoidance using Tinkercad. In addition, the integration of a car GPS navigation system with the capability to modify destinations or routes is investigated. By modelling a variety of automotive applications, from sensor networks to control systems, this study proves the feasibility and usefulness of embedded systems in real-world automotive settings, providing the groundwork for future research and development efforts. Embedded systems power Advanced Driver Assistance Systems (ADAS) and other features, resulting in considerable reductions in road fatalities. They optimize engine efficiency, regulate fuel consumption, and lower emissions, helping to create a more sustainable vehicle industry. This research demonstrates the potential and effectiveness of embedded technologies in improving vehicle safety and driver assistance. The thesis evaluates the performance of obstacle avoidance algorithms using Tinkercad simulation, and an investigation of an automobile GPS navigation system with dynamic route modification capabilities reveals the possibility for enhanced navigation experiences. Consequently, this thesis states that embedded systems are an essential part of automotive innovation, propelling advances in vehicle design, performance, and functionality. With the assistance of AI, ideas have been derived for this research project.