How Tesla has been Optimizing its Software and Hardware for FSD Capabilities and a Hyper Efficient Robo-Taxi Fleet?

Sandeep Aswathnarayana — Sat, 22 Aug 2020 14:35:01 +0000

Full article:
https://medium.com/towards-artificial-intelligence/how-tesla-has-been-optimizing-its-software-and-hardware-for-fsd-capabilities-and-a-hyper-efficient-21493079b9bd?source=friends_link&sk=efab60f937d28854911d84aa6b463772

Motive:

I have been following and hearing about Tesla’s work over the past 6 years or so, but I have been listening to them only from the past couple of years.

I believe, to innovate, we need to stay curious and push the boundaries of our scientific limits. Needless to mention, incorporating an optimistic mindset and culture is pivotal to overcoming the challenges while pursuing these endeavors. Also, Innovation (say, space exploration) fosters a peaceful connection with other nations by finding a common ground. This article is one such example that encompasses my understanding and intuition of Tesla Autopilot AI and its potential that are backed by some facts and ongoing research.

Brief Overview:

PART 1: Andrej Karpathy (Director of AI and Autopilot Vision)
Concepts covered: The Essentials for Neural Networks (Large dataset, Varied dataset, Real dataset), Object Detection, Corner Cases, Data Engine, Fleet Labeling & Learning, Path Prediction, Depth Perception from VISION only.

PART 2: Stuart Bowers (Former VP of Engineering)
Concepts covered: Packaging the Hardware and AI into a viable product at production, Sensor Redundancy, Vector Space, Shadow Mode, Feature life cycle.

PART 3: Pete Bannon (VP of Hardware Engineering)
Concepts covered: A Full Tour of FSD Computer — Image Signal Processor, Neural Network Processor, Video Encoder, GPU, Main Processor, Safety System, Security System, Control Energy, Post Processing, Neural Network Compiler, HW 2.5 vs FSD Results Comparison.

PART 4: Elon Musk
Concepts covered: The Robo-Taxi Fleet & Cost Model, The Future of Self-Driving.

Read the full article on Medium:
https://medium.com/towards-artificial-intelligence/how-tesla-has-been-optimizing-its-software-and-hardware-for-fsd-capabilities-and-a-hyper-efficient-21493079b9bd?source=friends_link&sk=efab60f937d28854911d84aa6b463772

How to Build and Deploy a Custom Object Detector & Classifier using TensorFlow Object Detection API?

Sandeep Aswathnarayana — Wed, 24 Jun 2020 14:39:09 +0000

Motive: How to Build a Custom Object Detector & Classifier using TensorFlow Object Detection API?
Application: Programming a real self-driving car

Medium and Towards Data Science have curated and recommended my article to readers across their homepage, emails, topic page, and app.

I worked, to the best of my capacity and technical skill set, on implementing this model a couple of months ago. I am sure, with the perpetual research in the field, there are other State-of-the-Art (SOTA) models which might have relatively better performance accuracies. I look forward to implementing and working on more SOTA models soon!

Here is a friend link with free access to the article:
https://towardsdatascience.com/how-to-build-a-custom-object-detector-classifier-using-tensorflow-object-detection-api-811b7bcd31c4

I'd be glad to learn any inputs or comments with relevance to my project.

Thank you,
Sandeep Aswathnarayana

Forem: Sandeep Aswathnarayana

How Tesla has been Optimizing its Software and Hardware for FSD Capabilities and a Hyper Efficient Robo-Taxi Fleet?

Motive:

Brief Overview:

How to Build and Deploy a Custom Object Detector & Classifier using TensorFlow Object Detection API?