Interested to Buy Any Domain ? << Click Here >> for more details...
Explain how do you think google is training data for self-driving cars?
- 1 Answers
- 161 Views
- I also Faced
- E-Mail Answers
Answer / Tarun Agarwal
Google, through its subsidiary Waymo, collects vast amounts of real-world driving data using vehicles equipped with sensors (like cameras, LiDAR, and radar). This data includes images, sensor readings, and GPS information. The data is then annotated by humans to identify objects like pedestrians, traffic signs, and lanes. The annotated data is used to train self-driving car models.
| Is This Answer Correct ? | 0 Yes | 0 No |
How is machine learning used in day-to-day life?
What is class-imbalanced dataset in machine learning?
Explain the Algorithm Technique of Supervised Learning in Machine Learning?
What is the “curse of dimensionality?
Tell us what are some differences between a linked list and an array?
Please explain the concept of a boltzmann machine.
What is the F1 score?
What are the similarities and differences between bagging and boosting in machine learning?
What are the functions of unsupervised learning?
What is your training in machine learning and what types of hands-on experience do you have?
What is ‘tuning’ in ML?
What is the difference between bayes and naive bayes?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
