This repo includes a research paper with a Jupiter notebook sample code using Python TensorFlow. The paper investigates the different Neural Network models used for object detection in self-driving vehicles.
-
Notifications
You must be signed in to change notification settings - Fork 1
Autonomous vehicles offer a promising solution to safer driving through monitoring and utilizing real-time sensing data. Information collected from different sensors, including LiDAR's, ultrasonic sensors, cameras, radars, and GPS, can be processed, and analyzed to operate the vehicle. Computer vision played an essential role in advancing this t…
zeidanbm/object-detection-of-self-driving-vehicles
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Autonomous vehicles offer a promising solution to safer driving through monitoring and utilizing real-time sensing data. Information collected from different sensors, including LiDAR's, ultrasonic sensors, cameras, radars, and GPS, can be processed, and analyzed to operate the vehicle. Computer vision played an essential role in advancing this t…
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published