16 réponses à ce sujet

[vishal73335238]

Hi everyone! I'm Vishal.

My technical background: I'm an electronics engineer, maker, and content creator behind the YouTube channel Pro Know, where I build and share projects related to robotics, RC vehicles, embedded systems, AI, and DIY engineering.

I've been exploring the D-Robotics ecosystem for some time and have already built multiple projects using the RDK X5, including an AI-powered assistant robot, along with creating review and educational content to help other makers get started with the platform. I enjoy designing custom hardware, developing firmware, integrating AI models, and turning ideas into real-world prototypes.

My robot/AI dream: For the Robotics Dream Keeper Challenge, I plan to build an AI-powered autonomous RC vehicle using the RDK X5. The project will combine robotics, computer vision, and intelligent decision-making to create a vehicle that can understand its surroundings and navigate autonomously. The exact features may evolve during development, and I'll be sharing my progress throughout the challenge.

Some of my previous RDK X5 projects and videos:

- RDK X5 Review:
- Doctor Doom AI Assistant Robot:
- AI Valentine's Robot Project:

Looking forward to learning from the community, sharing updates, and seeing the amazing projects everyone creates!

#RoboticsDreamKeeper #RDKX5

[chrispie11]

awesome to see the rdk x5 already in action

[chrispie11]

quite nice production quality!

[vishal73335238]

Thanks:)

[evelyn041059]

Great to have you here! Excited to see you continue exploring the RDK X5. Looking forward to your deliverables across all stages of the Challenge

[vishal73335238]

Thanks:)
I am excited too:rocket:

[vishal73335238]

### Stage 1 Completed | RDK Studio Setup, Sensor Verification & AI Testing

Hi everyone!

I've completed the **Stage 1 - Ignite Challenge** and successfully set up my development environment for the Robotics Dream Keeper Challenge.

### What I completed

Installed a fresh **RDKOS 3.5.0 (Ubuntu 22.04 Desktop)** image using **RDK Studio**

Connected the RDK X5 through **RDK Studio**

Tested **SSH Terminal**

Tested **Remote Desktop**

Tested **Remote File Manager**

Tested **Code Editor**

Verified the overall development workflow

### Sensor Verification

Connected and tested the **D-Robotics Stereo Vision MIPI Camera**

### AI Verification

Ran **YOLOv5 Object Detection** using a USB Camera

Ran **YOLO Object Detection** using the Stereo Vision MIPI Camera

The AI inference pipeline, camera input, and development tools are all working successfully, and the board is now ready for project development.

### Project Repository

I have also created the GitHub repository that will be used to document the complete project development process:

https://github.com/p...onomous-Vehicle

The repository currently includes Stage 1 setup documentation, flashing notes, connection steps, sensor testing, and AI verification. I will continue updating it throughout the challenge.

### Next Step

Now I'll begin work on my main challenge project:

**RDK X5 Autonomous Vehicle**

An AI-powered autonomous vehicle platform that will combine computer vision, object detection, and intelligent navigation using the RDK X5.

Looking forward to sharing more progress updates soon!

#RoboticsDreamKeeper #RDKX5
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 RDK-X5_MIPI_Camera.jpeg   182,85 Ko   0 téléchargement(s)
 YOLOv5_MIPI_Camera.png   870,43 Ko   0 téléchargement(s)

[drobo_community]

Great! @Shockley please review and leave your comment.

[shockley6668]

Great work! Stage 1 is well documented and successfully completed. I also enjoyed reviewing your previous projects-they were very impressive and well presented. Looking forward to seeing your RDK X5 Autonomous Vehicle progress in Stage 2!

[vishal73335238]

Thank you, Lisa! I'm looking forward to Stage 2 and sharing the progress of the autonomous vehicle project. Thanks to the team for organising this challenge!

[vishal73335238]

Thank you, Shockley! I'm glad you enjoyed the previous projects. The autonomous vehicle project is already underway, and I'll be posting regular updates as development progresses.

[drobo_community]

Congratulations, you have unlocked your RDK Explorer title!

[vishal73335238]

Thanks

[vishal73335238]

RDK Challenge - Stage 2 Build Challenge Completed

Hi everyone!

I'm excited to share that I've completed Stage 2 - Build Challenge for my project:

RDK X5 Autonomous Vehicle

During this stage, I focused on designing the complete software and hardware architecture before starting the actual build.

Stage 2 Progress
Designed the complete autonomous vehicle architecture
Selected all hardware components
Designed the ROS 2 software architecture
Created the system flow and hardware diagrams
Defined the AI perception and behaviour planning pipeline
Completed the Bill of Materials (BOM)
Created the engineering roadmap and development milestones
Completed the project proposal and risk analysis
AI Stack

The vehicle will use two AI models running concurrently on the D-Robotics RDK X5:

D-Robotics Racing Track Detection (ResNet18) for road tracking and lane following
YOLOv11 (planned) for vehicle and obstacle detection

The software is being designed using a ROS 2 architecture, with a DFRobot Beetle ESP32-C3 acting as the vehicle controller over UART.

Planned Features
Autonomous road tracking
Vehicle & obstacle detection
Autonomous lane following
Autonomous lane changing
Manual RC override using the RadioLink RC6GS transmitter

I'm now moving into Stage 3, where I'll begin building the hardware, integrating the software stack, and testing autonomous driving on a custom two-lane miniature road.

GitHub Repository:
https://github.com/p...onomous-Vehicle

I appreciate all the support from the D-Robotics team and the community. Looking forward to sharing more progress soon!

#RoboticsDreamKeeper #RDKX5 #ROS2 #EdgeAI #AutonomousVehicle #ComputerVision

[vishal73335238]

Very close to completing the project, planning to submit the Stage 3 very soon.
 DKS_Pro_Car.jpg   1,29 Mo   0 téléchargement(s)
 RDK-X5_Autonomous_Car.jpg   1,53 Mo   0 téléchargement(s)

[vishal73335238]

Stage 3 - Launch Submission | Robotics Dream Keeper Challenge 2026

Hi D-Robotics Team!

I'm excited to submit my Stage 3 - Launch project for the Robotics Dream Keeper Challenge 2026.

Project: RDK X5 Autonomous Vehicle

I built a 1/10 scale autonomous vehicle powered by the D-Robotics RDK X5 running ROS 2 Humble. The vehicle combines classical computer vision with AI to navigate a miniature road while detecting objects in real time.

Key Features
OpenCV-based lane detection with perspective transformation
YOLOv11 object detection
Stop sign and obstacle detection with automatic vehicle stop
Manual / Autonomous driving modes
Stereo Vision MIPI Camera
ESP32-C3 vehicle controller for steering and throttle
Modular ROS 2 architecture
USB serial communication between RDK X5 and ESP32-C3

During development, I initially planned to use the D-Robotics racing track detection model for lane detection. However, since it wasn't directly suitable for my custom miniature track and training a dedicated model would have exceeded the available project timeline, I implemented an OpenCV-based lane detection pipeline while using the RDK X5 BPU for YOLO object detection. This resulted in a reliable and responsive autonomous driving system.

GitHub Repository

https://github.com/p...onomous-Vehicle

Demo Video

[vishal73335238]

Oops! I forgot to mention one more thing in my previous post.

I've also submitted my Project Showcase Pull Request to the official Robotics Dream Keeper Challenge repository.

Project: RDK X5 Autonomous Vehicle
GitHub Repository: https://github.com/p...onomous-Vehicle
Project Showcase PR: https://github.com/D...allenge/pull/15

Thank you once again to the D-Robotics team for organising this challenge and providing such a great platform to learn and build with the RDK X5!