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venkat-ranganathan authored Jul 5, 2024
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Expand Up @@ -31,7 +31,18 @@ Venkat Ranganathan

ECD 407 completed our senior design project and accomplished our required and stretch goals of operating a modified RC car autonomously on a track with variable throttle, and the ability to detect and avoid objects.

I'll add more details once the semester ends
I'll add more details once the semester ends:

Summary of my contribution:

• Led team of four to implement object detection and object avoidance on autonomous RC car running Linux on NVIDIA Jetson Orin Nano.
• Debugged Python errors to get functional RC car. Trained road following and object detection models.
• Configured steering gain, steering bias, offset, min/max/cruise speed, turn/straight speed variability to maximize performance of car on track. Made local news.
• Set up PyTorch, Torch2trt, torchvision, JetCam, JetRacer, Jetson-inference. Installed inertial measurement unit driver.
• Configured Jupyter Lab Server to auto-launch on boot, assign itself IP address, and broadcast on local network.
• Upgraded stability and speed of model training by installing NVMe drive and setting up 4GB swap partition to expand total available memory to 12GB from 8GB.
Evaluated power requirement to select battery pack to power NVIDIA device.


Project experience video for now:
<iframe width="560" height="315" src="https://www.youtube.com/embed/-anzSoZteY4?si=_LfH062httOYH4Ep" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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