Visual Perception for Self-Driving Cars! Part 6: Camera to Bird’s Eye View

One of the most essential tasks for autonomous driving is precise environment perception. The measurement of environmental distances while integrating monocular cameras is quite difficult. As monocular cameras can only see places in the picture plane, images can be transformed to a bird’s eye viewpoint (BEV). Bird’s eye view or top view is the viewing of the 3D scenes from the top. To be more exact, it’s a narrow of the same picture as viewed from a position where the image plane lines in front of the camera with the ground plane. The process of converting camera data to BEV is known as <a href="https://csyhhu.github.io/2015/07/09/IPM/" rel="noopener ugc nofollow" target="_blank">Inverse Perspective Mapping (IPM)</a>. This transformation distorts three-dimensional objects like automobiles and vulnerable road users, making it harder to assess their position relative to the sensor. <a href="https://medium.com/@shahrullo/visual-perception-for-self-driving-cars-part-5-multi-task-learning-cb4300208a4e">Website</a>