# 176. Super Fast Computer Vision: Final Piece of The Autonomous Vehicle Puzzle

- Show: [The Next Byte Podcast](https://hardwarepodcasts.com/podcast/the-next-byte-podcast)
- Published: 2024-05-28
- Length: 19m
- Page: https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-05-28-176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle
- Listen: https://the-next-byte-wevolver.simplecast.com/episodes/176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle-UJuTAy0i

## Summary

Hosts Daniel and Forbode discuss research by Dr. DeGus from the Technical University of Eindhoven, who developed algorithms to make computer vision faster and more accurate for autonomous vehicles. The new method eliminates the need for separate foreground and background models and uses image clustering to process sky and other large areas as single units, allowing the system to run twice as fast without losing accuracy. The hosts highlight how this software optimization reduces computational load, potentially solving the 'analysis paralysis' that currently hinders self-driving car safety and reliability.

## Chapters

- [0:00](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-05-28-176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle#t=0) Introduction: The Autonomous Vehicle Vision Problem
- [1:41](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-05-28-176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle#t=101) Murata's Role in Autonomous Vehicle Components
- [5:07](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-05-28-176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle#t=307) The Accuracy vs. Speed Trade-off in Computer Vision
- [7:09](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-05-28-176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle#t=429) Dr. DeGus's Algorithm: Removing Foreground Models
- [9:15](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-05-28-176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle#t=555) Image Clustering and Abstraction Techniques
- [14:49](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-05-28-176-super-fast-computer-vision-final-piece-of-the-autonomous-vehicle-puzzle#t=889) Impact on Safety and Future Research

## 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)

## Most relevant to

early-stage companies

## Mentioned

- Murata (company)
- Cruz (company)
- Tesla (company)
- NVIDO (company)
- Technical University of Eindhoven (other)
- Dr. DeGus (other)

## Related episodes from other shows

- [Episode 81: Vision for self-driving cars - Vassia Simaiaki](https://hardwarepodcasts.com/podcast/robot-talk/2024-04-19-episode-81-vision-for-self-driving-cars-vassia-simaiaki) (Robot Talk)
- [Episode Forty-Two: Thom Kirwan-Evans](https://hardwarepodcasts.com/podcast/robot-talk/2023-03-24-episode-forty-two-thom-kirwan-evans) (Robot Talk)
- [161: Magenta Doesn't Exist](https://hardwarepodcasts.com/podcast/embedded-fm/2016-07-19-161-magenta-doesnt-exist) (Embedded.fm)
- [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)
- [AI & Computer Vision’s Role in IoT | Drover AI's Alex Nesic](https://hardwarepodcasts.com/podcast/iot-for-all-podcast/2022-07-21-ai-computer-visions-role-in-iot-drover-ais-alex-nesic) (IoT For All Podcast)

## Citing this page

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