Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Make a submission
Accepting submissions till 01 Nov 2019, 04:20 PM
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
##About the 2019 edition:
The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule
The conference has three tracks:
#Who should attend Anthill Inside:
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Hosted by
Naman Kumar
@namankumar
Submitted Oct 27, 2019
In almost every aspect of life, there is a concept of state (for example, where are you right now?) and a concept of uncertainty (for example, how soon can you reach home?). And whenever there is uncertainty, there is a tool that can help you get a better estimate of that state. It is called a Kalman Filter, named after an American Mathematician, Rudolf Kalman.
Kalman Filters, or, Linear Quadratic Estimator, is an amazing -- almost magical -- tool for estimating state in the presence of unreliable or uncertain data. With applications in a multitude of fields ranging from finance, economics, marketing, sports to vehicle control, Robotics, signal processing and biology, it combines data over time resulting in a much better performance than simply using the data present at the current moment.
It is basically a two-step process:
If you have no clue about what is going on, don’t worry. In this presentation, I will try to build your intuition with a series of simple examples. Then, with a little bit of math, I will demonstrate how the Kalman filter works its charm. Finally, I will end by giving you a glimpse of its numerous applications in different fields and how you can probably use it in your own project.
Naman is a Robotics Engineer with Masters in Robotics from Robotics Institute, Carnegie Mellon University. After his masters, he spent some time working on Automotive Computer Vision at BOSCH. Then, he worked on Indoor Commerical cleaning robots at Discovery Robotics before moving to California where he worked on Self-driving vehicles at Faraday Future. Last year, he moved back to India and is currently working on Agriculture Robotics at TartanSense in Bangalore, India. He strongly believes in the positive impact AI and Robotics can have in the day-to-day lives and it keeps pushing him to work on it every single day.
When he is not busy with robots, you will find him reading, traveling or indulging himself in adventure activities.
https://www.linkedin.com/in/naman-kumar-0582004a/
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
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