Autonomous crash prevention RC car test 1
I have been working on this since late November, so I hope you enjoy! It would help me if you subscribed... (because of how the Youtube Algorithm works).Thanks!
This is my year-long research project for my freshman year of high school. I am on a team of 3. One of my team members is working on a vision system using the OAK-D S2 camera. My other team member is working on using multiple ultrasonic sensors (emulating radar)
Eventually, these systems will be integrated into one car, enabling more effective obstacle avoidance.
How the algorithm works (simplified):
-Blue Dot bluetooth library controls the car
-Lidar scans in the front
-If the lidar detects anything, the car does not listen to bluetooth commands.
-The car then turns where there is no obstacle, then brakes.
-If there is nothing in detection distance, bluetooth control takes over again.
Components (for my section):
-Random, cheap RC car that I had
-RPLIDAR A1
-Raspberry Pi 3
-L298N motor driver
-2 batteries (7.2 V)
-A 12v-5v 10 amp converter
-Servo
-Bus Bar
-Speaker
More tuning is necessary to improve this design. Let me know if you want more videos!
Note: While giant (in this scale) flying pillows are not common on the real roads, it is merely a reaction time test for this system.