Build AI program to automate parking of 1/10 scale model car
$1500-3000 AUD
Pagado a la entrega
I am looking for a skilled AI programmer to build an AI program that can automate the parking of a 1/10 scale model car.
Desired Level of Automation: Intermediate (parking with obstacles)
- The AI program should be able to navigate and park the model car in a simulated environment with obstacles.
AI Technology Preference: No Preference
- The client does not have a specific preference for Machine Learning or Deep Learning, leaving it open to the freelancer's expertise.
Timeframe: More than a month
- The client expects the project to be completed within a timeframe of more than a month.
Ideal Skills and Experience:
- Strong background in AI programming and algorithms
- Experience in developing AI models for autonomous navigation and obstacle avoidance
- Familiarity with 1/10 scale model cars and their control systems
- Ability to work on a project with an extended timeframe and deliver high-quality results.
To my original description, I want to add some extra details.
1. Any code must be commented.
2. Let me define the rectangular area in which we wish to park as “the Box”.
3. I want to add at least two sensors that will show the extent of “the box” the vehicle is parking in. These might be ultrasounds that report the distance of points on the vehicle from fixed points. The vehicle will know the distance from these points at all times.
4. I want to orient the car using input from a magnetometer, able to accurately detect the angle of the car with respect to due north. The car will know its orientation as an angular constraint at all times, “A_car”
5. I want the angle of the front wheels compared to the car is A_wheels. This can have values from -45 degrees to plus 45 degrees.
6. The box will know its orientation with regards to true north at all times. This will be a static value “A_box”
7. The difference between the A_box and A_car is the Angular delta A_delta. I wish to place a constraint on this so that it does not exceed a value, say, 45 degrees. Sometimes it is impractical to have high delta angle in heavy traffic.
8. Ultimately, I want to take the learning model from the simulated environment to the real world, such that the driver of the vehicle has an output that says forward/stop/back, and the angle the front wheels must be with respect to the car.
9. I would want the ability to add additional (unforeseen) parameters that the control model could give priority to in the decision making process. Just an example, sometimes there are obstacles outside the box but the car might encroach on them.(because of the angle of the car). So I want the learning model to be able to accept other parameters.
Nº del proyecto: #37408622
Sobre el proyecto
31 freelancers están ofertando un promedio de $2540 por este trabajo
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Dear client. Thank you for your job post! I have a strong background in AI programming and algorithms and I'm proficient in developing AI models for autonomous navigation I can complete this project within your budget Más
Do you want automation for the parking lot or for the cars themselves? Please explain......................................................................
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