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INTENT: An LSTM Framework for Vehicle Intention Prediction in Intersection Scenarios with Comprehensive Ablation Analysis

Researchers developed an LSTM-based framework designed to predict vehicle intentions at complex road intersections to improve autonomous driving safety.

Impact
30/100
Current rank score
14.89
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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