We designed a physics-guided feature pipeline grounded in vehicle kinematics and traffic-flow safety theory (e.g., distance headway, time headway, time-to-collision, closing gap time), neighbor …

Dec 1, 2025 · In this study, we introduce LC-LLM, an explainable lane change prediction model that not only forecasts lane change intentions and trajectories but also provides CoT reasoning and …

Sep 22, 2025 · Lane-change maneuvers are a leading cause of highway accidents, underscoring the need for accurate intention prediction to improve the safety and decision-making of autonomous …

Advanced open-weight reasoning models to customize for any use case and run anywhere.

Oct 27, 2024 · To enhance the safety of lane changes for connected autonomous vehicles in an intelligent transportation environment, this study draws from potential field theory to analyze …

Apr 11, 2025 · To address the above issues, we propose to incorporate the concept of perceived safety into future interaction modeling and design a dual-view interaction-aware lane change prediction model.

To achieve this, the paper delves into forecasting lane shift decisions across diverse and challenging traffic scenarios, comparing and contrasting various machine learning methods.

Aug 19, 2024 · The proposed work focuses on presenting an accurate lane detection approach on poor roads, particularly those with curves, broken lanes, or no lane markings and extreme weather …

Sep 1, 2025 · How to accurately identify the lane width and ensure the safe distance from the neighboring vehicles in complex and changing traffic scenarios has become a difficult problem. In …

Jun 15, 2025 · To ensure safer and more efficient lane-changing for AVs, an increasing number of researchers are currently exploring issues related to decision-making, trajectory planning, and …