Apparatus, device and method for performing a perception task, and corresponding computer-readable storage medium

WO2026064056A1PCT designated stage Publication Date: 2026-03-26QUALCOMM INC
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-08-19
Publication Date
2026-03-26

AI Technical Summary

Technical Problem

Existing computer vision techniques for autonomous driving suffer from inaccuracies in object detection and localization due to implicit height modeling in birds-eye-view (BEV) representations, particularly in terrains with varying elevations, leading to challenges in accurately detecting and localizing objects like traffic lights and signs.

Method used

Incorporating explicit height modeling alongside BEV space features by integrating explicit heightmaps with BEV representations, using sensors like LiDAR and cameras to capture precise object dimensions and positions, enhancing depth perception and adapting to varying terrains.

Benefits of technology

Improves the accuracy of object detection and localization in autonomous driving systems by providing additional depth cues, enabling more precise estimation of object distances, positions, and dimensions, especially in scenarios with occluded or partially obscured objects.

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Abstract

An apparatus may be configured to perform a perception task based on features fused with height information. The apparatus configured may generate 3D sensor features from data from one or more sensors, generate a plurality of height maps from the 3D sensor features at a plurality of times, generate a height gradient map from the plurality of height maps, fuse the 3D sensor features and the height gradient map to generate height informed fused features, and perform the perception task using the height informed fused features.
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