Inverse Perspective Mapping Correction for Aiding Camera-Based Autonomous Driving Tasks

Inverse perspective mapping (IPM) is a crucial technique in camera-based autonomous driving, transforming the perspective view captured by the camera into a bird’s-eye view. This can be beneficial for accurate environmental perception, path planning, obstacle detection, and navigation. IPM faces cha...

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Bibliographic Details
Published in:Engineering proceedings 2024-11, Vol.79 (1), p.67
Main Authors: Norbert Markó, Péter Kőrös, Miklós Unger
Format: Article
Language:English
Subjects:
deprojection
distance estimation
distance estimation correction
inverse perspective mapping
Online Access:Get full text
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Summary:Inverse perspective mapping (IPM) is a crucial technique in camera-based autonomous driving, transforming the perspective view captured by the camera into a bird’s-eye view. This can be beneficial for accurate environmental perception, path planning, obstacle detection, and navigation. IPM faces challenges such as distortion and inaccuracies due to varying road inclinations and intrinsic camera properties. Herein, we revealed inaccuracies inherent in our current IPM approach so proper correction techniques can be applied later. We aimed to explore correction possibilities to enhance the accuracy of IPM and examine other methods that could be used as a benchmark or even a replacement, such as stereo vision and deep learning-based monocular depth estimation methods. With this work, we aimed to provide an analysis and direction for working with IPM.
ISSN:2673-4591
DOI:10.3390/engproc2024079067