Self driving car
- 1. SELF DRIVING CAR NAME: KAVAN PRAJAPATI BATCH: A ENROLLMENT NUMBER: 9191051003
- 2. OUTLINE What is it ? Machine learning algorithm for self driving cars How it works ? Advantages and disadvantages Self-driving cars vs others Conclusion Video References
- 3. WHAT IS IT? Ability of a car to get from point A to point B without human interaction(without driver). As an autonomous vehicle, it is capable of sensing its environment and navigating without human input.
- 4. MACHINE LEARNING ALGORITHMS FOR SELF DRIVING CARS Self-driving car Machine Learning algorithms are generally divided into four categories: 1. Regression Algorithms Regression algorithms are used explicitly for predicting events. Bayesian regression, neural network regression, and decision forest regression are the three main types of regression algorithms used in self-driving cars. 2. Pattern Recognition Algorithms (Classification) These algorithms help in filtering the data obtained through the sensors by detecting object edges, and fitting line segments and circular arcs to the edges. Pattern recognition algorithms combine the line segments and circular arcs in many different ways to form the ultimate features for recognizing an object.
- 5. 3. Cluster Algorithms K-means and multi-class neural networks are the two most widely used clustering algorithms for autonomous cars. 4. Decision Matrix Algorithms These algorithms determine the moves of the self-driving car. So, whether the car needs to take a left or a right turn, whether it needs to brake or accelerate, the answer to such questions is determined by the accuracy of these algorithms concerning classification, recognition, and prediction of the objects’ next movement.
- 6. HOW IT WORKS ?
- 7. ADVANTAGES Time-saving No occupant restrictions : 1. Drunk 2. Sleepy 3. Disabled, under age, or over age. Stress-free parking React faster than humans Fewer traffic collisions.
- 8. DISADVANTAGES Speed in this car is limited Expensive Fewer job opportunities for others Prone to Hacking Failure of just one system in the car could be very dangerous.
- 9. SELF-DRIVING CARS VS OTHERS
- 10. CONCLUSION Together, all these ML algorithms go into the functioning of self-driving cars as we know it. At present, self- driving cars can perform the basic tasks of a human driver, such as controlling, navigating, and driving the vehicle, but of course, there are certain limitations to it as well. However, with further advancement of Machine Learning and improvement of self-driving car algorithms, we have a lot to look forward to from these autonomous cars.
- 11. VIDEO !! https://www.youtube.com/watch?v=xMH8dk9b3yA https://www.youtube.com/watch?v=2yCl9WE4mzw https://www.youtube.com/watch?v=Ly92UcnoEMY
- 12. REFERENCES https://robohub.org/how-do-self-driving-cars-work/ https://en.wikipedia.org/wiki/Self-driving_car http://www.halffastchicago.com/advantages-and-disadvantages-of-autonomous-car/ https://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works