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Update README.md
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@tdameros
tdameros authored Dec 20, 2023
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Expand Up @@ -11,14 +11,12 @@ The competition spanned 2 months, during which we developed two key modules:
### Navigation
The navigation module enables autonomous control of the drone within its environment. The initial objective involves reaching the buoy that delineates the search area where the threat is located. Subsequently, it demonstrates the capability to maneuver the surface drone while effectively tracking the identified threat.

https://github.com/EthanDelage/aquabot/assets/50496792/67a0170c-d944-461a-99a4-69b9b991643f


https://github.com/tdameros/aquabot-2023/assets/50496792/53d4a6ee-7184-470c-a88a-2476b1e089b6

### Perception
The perception module is designed to detect threats utilizing the camera and estimate their distance using lidar sensor. Threat recognition is achieved through color detection, while distance estimation involves projecting the lidar's 3D points onto the camera rendering. By leveraging the threat's distance and angle, the module can calculate its GPS position.

https://github.com/EthanDelage/aquabot/assets/50496792/6377734d-59ac-47a8-b206-32733cc76101
https://github.com/tdameros/aquabot-2023/assets/50496792/5449793f-8295-4d24-8243-e61d992a5d8c

For additional details, please refer to the report available:

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