Larger vehicles have increased blind spots. Transit vehicles have more prominent blind spots due to their size compared to regular cars. While it’s essential to be cautious about blind spots when driving a car, twice as much caution is of the essence when operating even larger vehicles. This project focuses on developing a hybrid system to monitor blind spots around these vehicles using advanced sensors and technology. The Blind Spot Monitoring System has sensors strategically placed on the vehicle`s exterior, which can detect objects in the blind spot zones. These sensors collect real-time data and relay it to a central processing unit, which then analyzes the information to determine potential risks or obstacles in the blind spots. To warn the driver, the system uses intuitive visual and audible signals. When the system detects a vehicle or object in the blind spot, it immediately notifies the driver about the location and proximity of the potential hazard. The alerts are designed to be clear and easily noticeable, allowing the driver to take appropriate action, such as adjusting their lane position or delaying a lane change until it is safe. Through the implementation of a hybrid Blind Spot Monitoring System, the project aims to minimize the occurrence of accidents caused by blind spot-related incidents involving large vehicles. By providing drivers with timely and accurate information about potential hazards in their blind spots, this system enhances overall road safety and reduces the risk of collisions, benefiting both the vehicle operators and other road user.
-
Notifications
You must be signed in to change notification settings - Fork 0
Dolannimrod/Blind-Spot-Monitoring-System
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
This project is designed to monitor the blind spots of trucks, trailers and buses.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published