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Found 6 papers, 1 papers with code
Large Language Models for Autonomous Driving: Real-World Experiments
Autonomous driving systems are increasingly popular in today's technological landscape, where vehicles with partial automation have already been widely available on the market, and the full automation era with "driverless" capabilities is near the horizon.
A New Scoring Method for the Evaluation of Vehicle Road Departure Detection Systems
Road departure detection systems (RDDSs) for eliminating unintentional road departure collisions have been developed and equipped on some commercial vehicles in recent years.
Risk assessment and mitigation of e-scooter crashes with naturalistic driving data
The goal is to quantitatively measure the behaviors of e-scooter riders in different encounters to help facilitate crash scenario modeling, baseline behavior modeling, and the potential future development of in-vehicle mitigation algorithms.
A Method for Crash Prediction and Avoidance Using Hidden Markov Models
In particular, hidden Markov models are developed for the traffic lanes and speed change of vehicles on highway.
A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment
As one of the most popular micro-mobility options, e-scooters are spreading in hundreds of big cities and college towns in the US and worldwide.
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car
These innovative labels can enable several computer vision tasks, including pedestrian intent/behavior prediction, vehicle-pedestrian interaction segmentation, and video-to-language mapping for explainable algorithms.
