ROCVNov 17, 2021

Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression

arXiv:2111.09204v117 citations
Originality Incremental advance
AI Analysis

This work addresses a critical safety issue for autonomous vehicles by improving obstacle detection, though it is incremental as it builds on existing edge-based approaches.

The paper tackled the problem of detecting tiny obstacles with weak edge cues using a monocular camera, achieving state-of-the-art performance with a 15% improvement in detection accuracy over previous methods.

Edges are the fundamental visual element for discovering tiny obstacles using a monocular camera. Nevertheless, tiny obstacles often have weak and inconsistent edge cues due to various properties such as small size and similar appearance to the free space, making it hard to capture them. ...

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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