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Found 13 papers, 2 papers with code
Simulation Framework for Vehicle and Electric Scooter Interaction
However, due to the unique characteristics of moving behavior, it is commonly seen that e-scooters may share the road with other motor vehicles.
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.
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion
Firstly, we propose a multi-task motion planning algorithm, called FusionPlanner, for autonomous mining trucks by the multi-sensor fusion method to adapt both lateral and longitudinal control tasks for unmanned transportation.
PaniniQA: Enhancing Patient Education Through Interactive Question Answering
Patient portal allows discharged patients to access their personalized discharge instructions in electronic health records (EHRs).
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.
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value.
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space
To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short.
Ranked #9 on
3D Point Cloud Classification
on ScanObjectNN
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 Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process
Lane-change maneuver has always been a challenging task for both manual and autonomous driving, especially in an urban setting.
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.
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles
The results show the needs and design of a different number of cameras to fully or partially cover all the occupants with changeable configurations of up to six seats.
Extreme Low Resolution Activity Recognition with Confident Spatial-Temporal Attention Transfer
Given the fact that one same activity may be represented by videos in both high resolution (HR) and extreme low resolution (eLR), it is worth studying to utilize the relevant HR data to improve the eLR activity recognition.
