Opensource Accidental Avoidance and Tracking System for Electric Vehicles
Our project aims to develop an open source ?Accident Avoidance And Tracking system for Electric Vehicles (EVs). This system will be based on Raspberry Pi4 platform. Sharp IR sensors and cameras will be deployed for accidental avoidance. This system will be capable of detecting poten
Project Title
Opensource Accidental Avoidance and Tracking System for Electric Vehicles
Project Area of Specialization
Project Summary
Our project aims to develop an open source “Accident Avoidance And Tracking system for Electric Vehicles (EVs). This system will be based on Raspberry Pi4 platform. Sharp IR sensors and cameras will be deployed for accidental avoidance. This system will be capable of detecting potential threats of collision to a range of 5.5m which is more than the safe driving distance defined as one car length for most of the vehicles. Moreover, we are working on making a real-time GPS tracker with accurate positioning using Google Maps. Secondly to accommodate the automobiles with an in dash infotainment system developed using “OPENAUTO PRO” which is a software that can be installed on Raspberry Pi devices and used as a Human Machine Interface for the in-dash LCD display. OPENAUTO PRO is also compatible with ANDRIOD AUTO which is another well know software used in today’s automobile industry. We aim to build a cost efficient and cost effective system which can be implemented as modern car infotainment system in the upcoming era of EVs.
Project Objectives
The main objective of this project is to make an open source, cost efficient and most importantly a reliable Accident Avoidance and Tracking System that can work particularly with EV's but is not limited to it. It can be easily used with any other automobile.
- To reduce the amount of accidents occurring every year.
- Detection of potential threat of collision in 5.5m(distance>safe driving distance) range
- Forward and reverse collision detection
- Real time GPS positioning
- Car infotainment System
- Reverse parking camera
Project Implementation Method
We plan on implementing this project on the Raspberry Pi4 platform using Raspbian OS which is an open-source OS provided by Pi organization’s itself. On top of Raspbian we will use another software named OPENAUTO PRO that will work as HMI for the in-dash display (a 7inch Touchscreen) and the infotainment system of the car. Two types of infrared sensors would be used of ranges(100-550cm) and (20-150cm) . the second one is used to reduce the blind spot of the system from 100cm to only 20cm.To interface the Infrared sensors with Raspberry Pi a high resolution with high sampling rate Analog to Digital converter will be used. The code for the detection and avoidance of accidental avoidance system will be written in python programming language. On ignition the device will boot itself and start an algorithm to read and compare data from the sensors and alert the driver in case close proximity with objects or possible collisions. The reverse parking camera and the display would be interface through the dedicated ribbon connector provided in the Pi4 device. Mounts will be used to set up the sensors and other equipment in the car’s bumper and dash. The reverse parking camera will be switched on only when the car is put in reverse gear. Also, the GPS tracker will be interfaces with pi4 and will also display locations inside the car.
Benefits of the Project
- Open-Source
- Reliable Accident Avoidance System
- Accurate GPS positioning
- Open source and upgradeable infotainment System
- Reverse parking camera
- Cost efficient System
- Can be used with all types vehicles
Technical Details of Final Deliverable
- Potential collision detection up to 5.5m
- GPS positioning with Google Maps
- HD reverse parking camera
- Infotainment System with HMI and android compatibility
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pi4 | Equipment | 1 | 24300 | 24300 |
| 7 inch pi touch screen | Equipment | 1 | 10200 | 10200 |
| Openauto pro | Equipment | 1 | 6000 | 6000 |
| IR sharp sensor(100-550cm) | Equipment | 2 | 2800 | 5600 |
| IR sharp sensor(20-150cm) | Equipment | 6 | 1000 | 6000 |
| sdcard | Equipment | 1 | 1650 | 1650 |
| pi camera hd | Equipment | 1 | 5500 | 5500 |
| hdmi cable | Miscellaneous | 1 | 850 | 850 |
| Keyboard and mouse | Miscellaneous | 1 | 1700 | 1700 |
| 12V to5V@3A down converter | Equipment | 1 | 1000 | 1000 |
| 8 channel 16bit ADC header for pi | Equipment | 2 | 1500 | 3000 |
| Jumper wires | Equipment | 1 | 500 | 500 |
| GPIO header | Miscellaneous | 1 | 850 | 850 |
| GPS module | Equipment | 1 | 3500 | 3500 |
| pi4 case | Miscellaneous | 1 | 1500 | 1500 |
| Fan and heatsink | Equipment | 1 | 1000 | 1000 |
| VGA to HDMI | Miscellaneous | 1 | 450 | 450 |
| usb to type c cable | Miscellaneous | 1 | 400 | 400 |
| 5V@3A powerbrick | Miscellaneous | 1 | 550 | 550 |
| extension board | Miscellaneous | 1 | 1200 | 1200 |
| mounts for pi screen | Equipment | 1 | 1500 | 1500 |
| mounts for sensors | Miscellaneous | 1 | 2500 | 2500 |
| Total in (Rs) | 79750 |
If you need this project, please contact me on contact@adikhanofficial.com
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