ImageAngle-Udacity (IA-Udacity)

Citation Author(s):
Yan
Gong
Tsinghua
Submitted by:
Yan Gong
Last updated:
Mon, 03/27/2023 - 00:57
DOI:
10.21227/1evd-ew07
License:
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Abstract 

The Udacity Autonomous Vehicle Dataset is a widely used dataset that contains a large number of images and corresponding steering angle information. In IA-Udacity, we added lane marking annotation information to further improve the accuracy and reliability of the model, making it more suitable for lane detection and steering decisions in autonomous driving scenarios. Lane marking annotation allows the model to learn the driving behavior of the vehicle when it is driving within a lane, such as how to keep the vehicle's trajectory near the center line of the lane, how to adapt to changes in the lane markings in curves, etc. This information can help the model better understand the road scene and make more accurate and safe steering decisions.

Instructions: 

The Udacity Autonomous Vehicle Dataset is a widely used dataset that contains a large number of images and corresponding steering angle information. In IA-Udacity, we added lane marking annotation information to further improve the accuracy and reliability of the model, making it more suitable for lane detection and steering decisions in autonomous driving scenarios. Lane marking annotation allows the model to learn the driving behavior of the vehicle when it is driving within a lane, such as how to keep the vehicle's trajectory near the center line of the lane, how to adapt to changes in the lane markings in curves, etc. This information can help the model better understand the road scene and make more accurate and safe steering decisions.