# 86. The Autonomous Race & Drift Cars Of The Not So Distant Future

- Show: [The Next Byte Podcast](https://hardwarepodcasts.com/podcast/the-next-byte-podcast)
- Published: 2022-09-06
- Length: 30m
- Page: https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2022-09-06-86-the-autonomous-race-drift-cars-of-the-not-so-distant-future
- Listen: https://the-next-byte-wevolver.simplecast.com/episodes/86-the-autonomous-race-drift-cars-of-the-not-so-distant-future-vmYpoMM_

## Summary

Daniel and Farbod discuss how autonomous racing technology is advancing, focusing on a Toyota Research Institute and Stanford University project that uses machine learning to enable a vehicle to autonomously drift. They detail how expert driver Ken Gushi's inputs were used to train an AI model for non-linear model predictive control (NMPC) on a Toyota Supra. The hosts also cover the Technical University of Munich's autonomous Formula 1 challenge, led by Professor Marcus Lienkamp, which aims to compete with human drivers by 2025 using open-source software and complex path planning.

## Chapters

- [0:00](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2022-09-06-86-the-autonomous-race-drift-cars-of-the-not-so-distant-future#t=0) Introduction: Formula E and Consumer Tech Transfer
- [3:50](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2022-09-06-86-the-autonomous-race-drift-cars-of-the-not-so-distant-future#t=230) Toyota and Stanford: Autonomous Drifting with AI
- [9:45](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2022-09-06-86-the-autonomous-race-drift-cars-of-the-not-so-distant-future#t=585) NMPC Control Model and Instrumented Toyota Supra
- [16:44](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2022-09-06-86-the-autonomous-race-drift-cars-of-the-not-so-distant-future#t=1004) Technical University of Munich: Autonomous F1 Challenge
- [24:59](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2022-09-06-86-the-autonomous-race-drift-cars-of-the-not-so-distant-future#t=1499) Open Source Collaboration and 2025 Racing Goals

## Topics

- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Robotics & autonomy](https://hardwarepodcasts.com/topic/robotics-and-autonomy)
- [Sensors & measurement in products](https://hardwarepodcasts.com/topic/sensors)
- [Energy & climate tech](https://hardwarepodcasts.com/topic/energy-and-climate-tech)

## Most relevant to

early-stage companies

## Mentioned

- Toyota Research Institute (company)
- Stanford University (company)
- Technical University of Munich (company)
- Volkswagen (company)
- Toyota Supra (product)
- Mouser Electronics (company)
- DARPA grand challenge (other)
- Ken Gushi (other)
- Marcus Lienkamp (other)
- Sebastian Thrun (other)

## Related episodes from other shows

- [Interview with IAC race winner Team TUM](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2021-10-26-interview-with-iac-race-winner-team-tum) (The Robot Report Podcast)
- [Ep 215: Autonomous Race Car, Espresso Robot, and Vintage Computers](https://hardwarepodcasts.com/podcast/hackaday-podcast/2023-04-21-ep-215-autonomous-race-car-espresso-robot-and-vintage-computers) (Hackaday Podcast)
- [Ep. 13 | How Motorsports Are Accelerating Product Development for Next-Gen Automotive Applications](https://hardwarepodcasts.com/podcast/moores-lobby/2020-11-20-ep-13-how-motorsports-are-accelerating-product-development-for-next-gen-automoti) (Moore's Lobby)
- [Ep. 22 | Cruise's Sr. VP of Engineering, Mo ElShenawy, on Developing Autonomous Vehicles](https://hardwarepodcasts.com/podcast/moores-lobby/2021-04-15-ep-22-cruises-sr-vp-of-engineering-mo-elshenawy-on-developing-autonomous-vehicle) (Moore's Lobby)
- [APEX.AI discusses autonomous vehicle OS's; Nearly $1B in funding announcements](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2022-01-21-apex-ai-discusses-autonomous-vehicle-oss-nearly-1b-in-funding-announcements) (The Robot Report Podcast)

## Citing this page

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