Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics

Jamal Raiyn

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arXiv · 2511.21280

Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics

Jamal Raiyn

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Abstract

This paper proposes a new strategy for collision avoidance system leveraging Time-to-Collision (TTC) metrics for handling cut-in scenarios, which are particularly challenging for autonomous vehicles (AVs). By integrating a deep learning with TTC calculations, the system predicts potential collisions and determines appropriate evasive actions compared to traditional TTC -based approaches.

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BibTeX RIS

Jamal Raiyn. 2025-11-26. Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics. https://arxiv.org/abs/2511.21280

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