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Keeping the driver in the loop through semi-automated or manual lane changes in conditionally automated driving - ScienceDirect
Examples of lane-change events in naturalistic driving situations. Case
Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning - Vishal Mahajan, Christos Katrakazas, Constantinos Antoniou, 2020
Characterization, Detection, and Segmentation of Work-Zone Scenes From Naturalistic Driving Data - Vaibhav Sundharam, Abhijit Sarkar, Andrei Svetovidov, Jeffrey S. Hickman, A. Lynn Abbott, 2023
Executive Summary, Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk
Investigating lane change behaviors and difficulties for senior drivers using naturalistic driving data - ScienceDirect
Modelling lane-changing execution behaviour in a connected environment: A grouped random parameters with heterogeneity-in-means approach - ScienceDirect
Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques - ScienceDirect
Modelling lane-changing execution behaviour in a connected environment: A grouped random parameters with heterogeneity-in-means approach - ScienceDirect
Examining lane change gap acceptance, duration and impact using naturalistic driving data - ScienceDirect
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Illustration of detection time, historical positions used in the
Lane Change Decision-Making of Autonomous Vehicles — CCAT Research Review with Dr. Brian Lin