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MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Predic

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1 SIGNALFIRST DETECTED 23 July 2026
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23 Jul
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20 Oct
$M^2Net$: Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting

arXiv:2610.24516v1 Announce Type: new Abstract: Spatial-temporal forecasting is pivotal for intelligent urban management yet remains challenging due to the intricate coupling of

REPORT · WHERE · ArXiv CS.AIOPEN STORY
14 Jul
A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles

arXiv:2607.09740v1 Announce Type: new Abstract: Safe motion planning in advanced driver-assistance systems and autonomous vehicles requires an accurate understanding of how the

REPORT · HOW · ArXiv CS.AIOPEN STORY
1 Apr
C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving

arXiv:2603.29908v1 Announce Type: new Abstract: Trajectory planning for autonomous driving increasingly leverages large language models (LLMs) for commonsense reasoning, yet LLM

REPORT · HOW · ArXiv CS.AIOPEN STORY
31 Aug
CASTANET: Causality-Aware Spatio-Temporal Adversarial Network Using Traffic Incident Effects

arXiv:2608.27942v1 Announce Type: new Abstract: Predicting non-periodic traffic congestion caused by sudden incidents (e.g., accidents and road damage) is crucial for advanced

REPORT · HOW · ArXiv CS.AIOPEN STORY
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