Reproducing Results on Jetson Xavier Nano

Oct 13, 2025 by pynkocean.com 15 views

Introduction

The Jetson Xavier Nano is a powerful and compact AI computer designed for edge computing applications. It is widely used in various fields such as robotics, autonomous vehicles, and computer vision. One of the popular applications of the Jetson Xavier Nano is the implementation of SLAM (Simultaneous Localization and Mapping) algorithms, which enable robots to build a map of their environment and track their location within it.

Jetson-SLAM: A Popular SLAM Algorithm

Jetson-SLAM is a popular SLAM algorithm designed specifically for the Jetson platform. It is an open-source implementation of the ORB-SLAM2 algorithm, which is a state-of-the-art SLAM algorithm that uses the ORB (Oriented FAST and Rotated BRIEF) feature detector to detect and match features in the environment. Jetson-SLAM has been widely used in various applications, including robotics, autonomous vehicles, and computer vision.

Reproducing Results on Jetson Xavier Nano

We appreciate your interest in reproducing the results of our paper on Jetson-SLAM using a Jetson Xavier Nano board configured in the 10W power mode. We are glad to hear that you were able to achieve similar accuracy on the EuRoC Machine Hall sequences. However, we understand that you encountered issues achieving the expected FPS (Frames Per Second) performance.

FPS Performance Issues on Jetson Xavier Nano

We understand that achieving the expected FPS performance is crucial for real-time applications such as SLAM. Unfortunately, we were unable to reproduce the expected FPS performance on the Jetson Xavier Nano board, even with the same OpenCV version mentioned in our repository. We are currently investigating the issue and would like to provide some suggestions to help you optimize the FPS performance.

Suggestions for Optimizing FPS Performance

Check the Power Mode: Ensure that the Jetson Xavier Nano board is configured in the 10W power mode. This power mode is designed for high-performance applications and should provide the best possible FPS performance.
Verify the OpenCV Version: Ensure that you are using the same OpenCV version mentioned in our repository. We have tested Jetson-SLAM with OpenCV 4.5.3 and achieved the expected FPS performance.
Check the Resolution: Ensure that the resolution is set to 752x480. This resolution is the recommended resolution for Jetson-SLAM and should provide the best possible FPS performance.
Optimize the Camera Settings: Ensure that the camera settings are optimized for the Jetson Xavier Nano board. We recommend using the default camera settings provided in our repository.
Check for Hardware Issues: Ensure that the Jetson Xavier Nano board is not experiencing any hardware issues. We recommend checking the board's temperature, power consumption, and other hardware parameters to ensure that they are within the recommended ranges.

Conclusion

We appreciate your interest in reproducing the results of our paper on Jetson-SLAM using a Jetson Xavier Nano board configured in the 10W power mode. We understand that achieving the expected FPS performance is crucial for real-time applications such as SLAM. We hope that the suggestions provided in this article will help you optimize the FPS performance and achieve the expected results.

Additional Resources

Contact Us

Introduction

In our previous article, we discussed the issue of achieving the expected FPS (Frames Per Second) performance on the Jetson Xavier Nano board while running the Jetson-SLAM algorithm. We provided some suggestions to help optimize the FPS performance, but we understand that you may still have some questions and concerns. In this article, we will address some of the frequently asked questions (FAQs) related to the issue.

Q&A

Q: What is the expected FPS performance on the Jetson Xavier Nano board?

A: The expected FPS performance on the Jetson Xavier Nano board is 30 FPS at a resolution of 752x480.

Q: Why am I not achieving the expected FPS performance?

A: There could be several reasons why you are not achieving the expected FPS performance. Some possible reasons include:

Power mode: Ensure that the Jetson Xavier Nano board is configured in the 10W power mode.
OpenCV version: Ensure that you are using the same OpenCV version mentioned in our repository.
Resolution: Ensure that the resolution is set to 752x480.
Camera settings: Ensure that the camera settings are optimized for the Jetson Xavier Nano board.
Hardware issues: Ensure that the Jetson Xavier Nano board is not experiencing any hardware issues.

Q: How can I optimize the FPS performance?

A: To optimize the FPS performance, we recommend the following:

Check the power mode: Ensure that the Jetson Xavier Nano board is configured in the 10W power mode.
Verify the OpenCV version: Ensure that you are using the same OpenCV version mentioned in our repository.
Check the resolution: Ensure that the resolution is set to 752x480.
Optimize the camera settings: Ensure that the camera settings are optimized for the Jetson Xavier Nano board.
Check for hardware issues: Ensure that the Jetson Xavier Nano board is not experiencing any hardware issues.

Q: What are the recommended camera settings for the Jetson Xavier Nano board?

A: The recommended camera settings for the Jetson Xavier Nano board are:

Resolution: 752x480
FPS: 30
Exposure: Auto
Gain: Auto
White balance: Auto

Q: How can I check for hardware issues on the Jetson Xavier Nano board?

A: To check for hardware issues on the Jetson Xavier Nano board, we recommend the following:

Check the temperature: Ensure that the temperature of the board is within the recommended range.
Check the power consumption: Ensure that the power consumption of the board is within the recommended range.
Check the board's health: Use the nvidia-smi command to check the board's health.

Conclusion

We hope that this Q&A article has helped address some of the frequently asked questions related to the issue of achieving the expected FPS performance on the Jetson Xavier Nano board while running the Jetson-SLAM algorithm. If you have any further questions or concerns, please do not hesitate to contact us.

Additional Resources

Contact Us

If you have any further questions or concerns, please do not hesitate to contact us. We are always happy to help and provide support for our open-source projects.