The capacity to combine data from many radars, lidars, and cameras to generate a single model or image of the world surrounding a vehicle is known as sensor fusion. Because the strengths of the many sensors are balanced, the final model is more accurate. In this session, you will learn how to leverage sensor fusion in the Use cases like Self Driving Car, IoT and many more areas of Research.
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The capacity to combine data from many radars, lidars, and cameras to generate a single model or image of the world surrounding a vehicle is known as sensor fusion. Because the strengths of the many sensors are balanced, the final model is more accurate.
In this session, you will learn how to leverage sensor fusion in the Use cases like Self Driving Car, IoT and many more areas of Research.
Vishwas Narayan, Bangalore, India
A technophile and a Flutter developer, Vishwas considers experimenting the key to the technology. As a student, he was a part of different communities. He has also been a speaker for Community Meetups and the Event Computer Architecture Club, Google Crowdsource, the Pie & AI Bangalore chapter, IEEE, and more.
Reach out to Vishwas:
Linkedin: https://www.linkedin.com/in/vishwas-n-0590591b0/
YouTube: https://www.youtube.com/channel/UCMJ1QiLtRwupWGhQgkCN9BA?sub_confirmation=1
Twitter: https://twitter.com/vishwasnarayan5
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