Future of Transportation — Autonomous Vehicles
AI helping to take more accurate and immediate decisions in Autonomous Vehicles.
“Fully autonomous vehicles will be a part of our life as manually driven vehicles in near future”. If someone had made this kind statement just a few decades ago no one would have believed him. But in today’s Artificial Intelligence technology-driven world it looks quite possible. With the help of Machine Learning, Deep Learning, and its algorithms.
Concept Autonomous cars.
The concepts of Autonomous cars are quite simple, just letting the machine behave exactly like humans. In a more simplified form, I would say the car is built up with high-resolution cameras and sensors. Due to which it can track all the different objects and act accordingly. With the help of different algorithms advanced maps, it can find its way out just like humans. But the execution may not be that simple as the concept looks. But the company’s like Waymo are playing a game-changer role in the market with the help of their advanced Artificial Intelligence technology and execution capacities.
Understanding the current state
Based on a few studies and surveys done by few agencies, the automation capacities of the vehicles are marked between the level O to 5. Level 0 compromise more of manually level here no automation is used.
Levels 1and 2 consist of taking help from park assistance, lane assistance, and taking the cruise control. Level 3 includes complete autonomous driving capacity but with human interference in more complex situations like traffic jams. Level 4 and Level 5 autonomous cars which won’t require any human interference are still being worked on.
Application of AI in vehicle
Different AI applications are used in autonomous vehicles for their better applications which be helpful for AI startups to understand the working of these vehicles. This helps them in leveraging in the delivery of their products. Let’s have a look at a few of them
- For Sensor Data Processing
Sensors are the backbone of Autonomous vehicles as they provide all the data and information right from roads to any hurdles. Artificial Neural Network (ANN) is the algorithm that is quite beneficial in this task. Due to its capacity of analyzing with its different layers that contain nodes.
- For Path Planning and Path Execution
Path planning and Path execution are key execution concepts of autonomous vehicles. Different AI algorithms play an important role here. From finding the nearest and fastest path to tracking any hurdles and Executing them.
Hence we can say that Autonomous vehicles are going to be a vital part of our life shortly. But still many technical and legal issues shall need to understand and address for better functioning of autonomous vehicles.