Contribute to the broader implementation of Advanced Driver-Assistance Systems (ADAS), which are designed to reduce traffic accidents caused by human error. Establish standards and regulations that ensure the safety of autonomous systems, paving the way for widespread adoption and revolutionizing the industry on both national and international levels. Enhance the sensor suite that enables self-driving cars to interpret their surroundings accurately. Optimize driving efficiency to decrease traffic congestion and emissions, supporting environmental sustainability. Continue to refine radar technology and sensor fusion algorithms with the aim to enhance the perception capabilities of autonomous vehicles, allowing them to navigate complex environments with greater accuracy. Leverage deep learning algorithms to improve tracking capabilities, contributing to road safety by reducing accidents caused by human error. Execute networking stack to developing the sensor fusion pipeline, combining data from various sensors to create a detailed 3D representation of the environment. Present work at events/conference to highlight technological advancements achieved.