… self-driving cars, deep learning, and computer vision followed by an overview of artificial
general intelligence… In section V, we investigate the role of deep reinforcement learning (DRL) to …

… As the self-driving car functions depending on the information from the perception of
constantly changing the surrounding environment, it is important to get a more complete …

… Advanced methodologies are used to build these cars, and concepts like machine learning
and computer vision play a vital role in development of these cars. The accuracy varies …

… proposes a confidence-aware reinforcement learning (CARL) method, involving a principle-based
self-driving system. The brief … The Q value function in deep Q learning is defined as: …

… Thus, intrusion detection is a key network security function in vehicles with open … machine
learning-based intrusion detection module detects Android malware for a self-driving vehicle …

… Vision is the important and strong aspect of selfdriving car that contribute a lot ie, sensing …
and deep learning. Ethical decision making, sacrificial decision making is really a tough job for …

… In a reinforcement learning framework – which we apply here – a reward function needs to
… To facilitate the process of reward shaping we decompose the reward function into two parts…

… self-driving car engineer, and the associated learning path, and we will get an overview of the
different approaches and challenges found in the self-driving car … function, the cost function…

… vehicles will reduce many problems associated with driving such as the drunken driver
problem. In this paper our aim is to build a Deep Learning model that can drive the car … purpose …

… The Region of Interest, the purpose of this section is to build a program that can easily identify
… Machine learning Machine Learning is extremely used to find out the solution to distinct …