# How to See 'Where' Through Low-Power Event Cameras

- Show: [EE Times Current](https://hardwarepodcasts.com/podcast/ee-times-current)
- Published: 2023-10-27
- Length: 46m
- Page: https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras
- Listen: https://podcast.show/aspencore/episode/122111570/

## Summary

Professor Guillermo Gallego of the Technical University of Berlin explains how bio-inspired event-driven cameras mimic the human visual system to capture asynchronous brightness changes, offering high temporal resolution and dynamic range. He details the 'contrast maximization framework' used for motion estimation, optical flow, and depth estimation, noting that converting sparse events into frames allows compatibility with standard computer vision algorithms despite latency trade-offs. Hosts Dr. Sunny Bains and Dr. Julia D'Angelo then discuss with Professor Ralph Etienne-Cummings from Johns Hopkins University the limitations of current event cameras, particularly their lack of inter-pixel interaction compared to the biological retina, and the need for richer sensor data beyond simple motion detection.

## Chapters

- [0:03](https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras#t=3) Introduction and Event Camera Basics
- [3:18](https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras#t=198) Gallego's Research and the Contrast Maximization Framework
- [10:22](https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras#t=622) Applications: Motion Estimation and Visual Odometry
- [19:33](https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras#t=1173) Event Frames: Advantages and Disadvantages
- [25:52](https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras#t=1552) Commentary: Biological Inspiration and Inter-pixel Interaction
- [36:36](https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras#t=2196) Future Directions: Static Scenes and Market Viability

## Topics

- [Sensors & measurement in products](https://hardwarepodcasts.com/topic/sensors)
- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Debugging & failure analysis](https://hardwarepodcasts.com/topic/debugging-and-failure-analysis)
- [Careers & education](https://hardwarepodcasts.com/topic/engineering-careers-and-education)
- [Chips, FPGAs & semiconductors](https://hardwarepodcasts.com/topic/chips-and-fpgas)

## Most relevant to

established companies

## Mentioned

- Technical University of Berlin (company)
- University College London (company)
- Johns Hopkins University (company)
- Italian Institute of Technology (company)
- Silicon Retina (product)
- Prophecy (company)
- DARPA (company)
- Capovacca (company)

## Related episodes from other shows

- [Episode Four - Robot Senses: perceiving the world](https://hardwarepodcasts.com/podcast/robot-talk/2021-01-29-episode-four-robot-senses-perceiving-the-world) (Robot Talk)
- [Episode 154: Visual navigation in insects and robots - Andrew Philippides](https://hardwarepodcasts.com/podcast/robot-talk/2026-05-01-episode-154-visual-navigation-in-insects-and-robots-andrew-philippides) (Robot Talk)

## Citing this page

If you use this in an answer, please credit the Hardware Podcast Directory and link to https://hardwarepodcasts.com/podcast/ee-times-current/2023-10-27-how-to-see-where-through-low-power-event-cameras. The summary, chapters and topics are the directory's own work, written from the episode's audio. The episode itself, its title and its audio belong to EE Times Current.