Self Driving Car
Safety measures in baby car have remained one of the main issues for the baby product industry. These cars need to be safe, reliable, smart and cost-efficient in order to avoid any in inconveniences for the babies. This project is the extension of autonomous cars into a baby car that can share their
2025-06-28 16:34:56 - Adil Khan
Self Driving Car
Project Area of Specialization Artificial IntelligenceProject SummarySafety measures in baby car have remained one of the main issues for the baby product industry. These cars need to be safe, reliable, smart and cost-efficient in order to avoid any in inconveniences for the babies. This project is the extension of autonomous cars into a baby car that can share their sensor data and use this information analyze the surrounding for the baby and increase safety, without needing a central domain.
The project contains various other modules which can help the baby car perform smart decisions based on the sensors and camera data. The algorithm aims to significantly reduce manpower and increase security for the babies sitting in it by enabling them to exchange sensing, vision and routing information with the surrounding units.
We alrady build a toy car in the previuous ignite projects we will extend the project to the self driving baby car.
Project ObjectivesOur aim is to make a safe baby car which will navigate from one point to another based on instructions using navigational maps. The vehicle will be able to identify different objects coming in to its vision system to avoid obstacles, turn left in an intersection and its sensing information. This will help reducing any human involvement while the baby is in the car and will result in reducing accidents. As these are our base ideas we hope during our work we will find more interesting applications of this vehicle & present in our final year project report.
- Autonomous localization system SLAM ref:[R.C. Smith and P]
- Take intelligent navigation decisions about to navigate through the obstacles.
- The vision and sensor algorithms to make it smart to differentiate between objects and humans.
- Collision avoidance to the wall.
The system consists of three subsystems: input unit (camera, ultrasonic sensor), processing unit (computer) and RC car control unit. We will build a baby vehicle which will contain various spare parts such as boards, sensors, batteries and motors.
A Raspberry Pi board attached with a pi camera module and an HC-SR04 ultrasonic sensor is used to collect input data. Using jumper wires to connect the raspberry pi with different L298N Motor Driver and batteries pack.
Our working environment in the raspberry pi will be Linux. The program and algorithm handles multiple tasks: receiving data from Raspberry Pi, neural network training and prediction(steering), object detection(stop sign and traffic light), distance measurement(monocular vision), and sending instructions to Raspberry through USB connection.
Benefits of the ProjectBenefits in steps
- A step towards the production of intelligent machines with the help of AI techniques.
- A selft driving baby safety to reduce the menpower.
- Interactive without human interaction.
- Early obstacle avoidance by broadcasting the detection of the obstacle.
- The parents can simply control the vehicle with the help of smartphone.
Technical Details
We proposed a baby car vehicle, which will work on strong navigation decision system. With the computer vision algorithm the system will detect all sort of objects. The system will make decisions based on vision and sensor data. The vehicle will be using the maps to move from one point to another. The technique will work in steps:
1. To define the navigation system
2. Objects detection
3. Building smart decision making algorithm.
Final Deliverable of the Project HW/SW integrated systemCore Industry ManufacturingOther Industries Others Core Technology Artificial Intelligence(AI)Other Technologies RoboticsSustainable Development Goals Decent Work and Economic GrowthRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 79500 | |||
| Raspberry Pi 3 Model B ultimate Kit | Equipment | 1 | 11500 | 11500 |
| Baby Car Kit (With video camera) | Equipment | 1 | 15000 | 15000 |
| 37 Module Sensor Kit | Equipment | 1 | 15000 | 15000 |
| PiCar-S Kit | Equipment | 1 | 11000 | 11000 |
| Modem (3G/4G connectivity) | Equipment | 1 | 10000 | 10000 |
| Arduino Kit | Equipment | 1 | 7000 | 7000 |
| Touch Screen (For Raspberry) | Miscellaneous | 1 | 10000 | 10000 |