Search Results for author: Lingxi Li

Found 21 papers, 3 papers with code

On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation

no code implementations17 Nov 2024 Can Cui, Zichong Yang, Yupeng Zhou, Juntong Peng, Sung-Yeon Park, Cong Zhang, Yunsheng Ma, Xu Cao, Wenqian Ye, Yiheng Feng, Jitesh Panchal, Lingxi Li, Yaobin Chen, Ziran Wang

Personalized driving refers to an autonomous vehicle's ability to adapt its driving behavior or control strategies to match individual users' preferences and driving styles while maintaining safety and comfort standards.

Autonomous Vehicles Natural Language Understanding +1

Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID

1 code implementation9 Nov 2024 Mei Qiu, Lauren Ann Christopher, Stanley Chien, Lingxi Li

Vision Transformers (ViTs) have shown exceptional performance in vehicle re-identification (ReID) tasks.

Vehicle Re-Identification

Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment

no code implementations20 Oct 2024 Can Cui, Yunsheng Ma, Zichong Yang, Yupeng Zhou, Peiran Liu, Juanwu Lu, Lingxi Li, Yaobin Chen, Jitesh H. Panchal, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Ziran Wang

With the broader usage and highly successful development of Large Language Models (LLMs), there has been a growth of interest and demand for applying LLMs to autonomous driving technology.

Autonomous Driving Decision Making +4

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History

no code implementations6 Oct 2024 Lingxi Li, Zonghai Yao, Sunjae Kwon, Hong Yu

Wikipedia (Wiki) is one of the most widely used and publicly available resources for natural language processing (NLP) applications.

Optimizing ROI Benefits Vehicle ReID in ITS

no code implementations13 Jul 2024 Mei Qiu, Lauren Ann Christopher, Lingxi Li, Stanley Chien, Yaobin Chen

Tracked vehicle images were cropped from inside and outside the ROIs at five-frame intervals.

Clustering Vehicle Re-Identification

Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification

no code implementations10 Jul 2024 Mei Qiu, Lauren Christopher, Lingxi Li

However, non-square aspect ratios of image or video input might significantly affect the re-identification performance.

Vehicle Re-Identification

ReadCtrl: Personalizing text generation with readability-controlled instruction learning

no code implementations13 Jun 2024 Hieu Tran, Zonghai Yao, Lingxi Li, Hong Yu

In an era of large language models (LLMs), readability-controlled text generation based on LLMs has become increasingly important.

Text Generation

Simulation Framework for Vehicle and Electric Scooter Interaction

no code implementations2 Feb 2024 Zhitong He, Lingxi Li

However, due to the unique characteristics of moving behavior, it is commonly seen that e-scooters may share the road with other motor vehicles.

A novel hybrid time-varying graph neural network for traffic flow forecasting

no code implementations17 Jan 2024 Ben-Ao Dai, Bao-Lin Ye, Lingxi Li

In order to overcome these challenges, we have proposed a novel hybrid time-varying graph neural network (HTVGNN) for traffic flow prediction.

Graph Learning Graph Neural Network +1

Personalized Autonomous Driving with Large Language Models: Field Experiments

no code implementations14 Dec 2023 Can Cui, Zichong Yang, Yupeng Zhou, Yunsheng Ma, Juanwu Lu, Lingxi Li, Yaobin Chen, Jitesh Panchal, Ziran Wang

We also validate that the proposed memory module considers personalized preferences and further reduces the takeover rate by up to 65. 2% compared with those without a memory module.

Autonomous Driving Language Modelling +3

FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion

no code implementations14 Aug 2023 Siyu Teng, Luxi Li, Yuchen Li, Xuemin Hu, Lingxi Li, Yunfeng Ai, Long Chen

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.

Motion Planning Scheduling +1

PaniniQA: Enhancing Patient Education Through Interactive Question Answering

1 code implementation7 Aug 2023 Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu

Patient portal allows discharged patients to access their personalized discharge instructions in electronic health records (EHRs).

Question Answering

A New Scoring Method for the Evaluation of Vehicle Road Departure Detection Systems

no code implementations8 Jun 2023 Dan Shen, Lingxi Li, Stanley Chien, Yaobin Chen, Rini Sherony

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

no code implementations17 Mar 2023 Siyu Teng, Xuemin Hu, Peng Deng, Bai Li, Yuchen Li, Dongsheng Yang, Yunfeng Ai, Lingxi Li, Zhe XuanYuan, Fenghua Zhu, Long Chen

Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value.

Autonomous Driving Motion Planning

Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space

1 code implementation8 Mar 2023 Yahui Liu, Bin Tian, Yisheng Lv, Lingxi Li, FeiYue Wang

To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short.

Classification Clustering +2

Risk assessment and mitigation of e-scooter crashes with naturalistic driving data

no code implementations24 Dec 2022 Avinash Prabu, Zhengming Zhang, Renran Tian, Stanley Chien, Lingxi Li, Yaobin Chen, Rini Sherony

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.

Descriptive

A Method for Crash Prediction and Avoidance Using Hidden Markov Models

no code implementations22 Dec 2022 Avinash Prabu, Lingxi Li, Brian King, Yaobin Chen

In particular, hidden Markov models are developed for the traffic lanes and speed change of vehicles on highway.

Pedestrian Detection

A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process

no code implementations22 Dec 2022 Avinash Prabu, Niranjan Ravi, Lingxi Li

Lane-change maneuver has always been a challenging task for both manual and autonomous driving, especially in an urban setting.

Autonomous Driving

Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles

no code implementations22 Dec 2022 Avinash Prabu, Renran Tian, Lingxi Li, Jialiang Le, Srinivasan Sundararajan, Saeed Barbat

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.

Autonomous Vehicles Pose Tracking

A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment

no code implementations22 Dec 2022 Avinash Prabu, Dan Shen, Renran Tian, Stanley Chien, Lingxi Li, Yaobin Chen, Rini Sherony

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.

Extreme Low Resolution Activity Recognition with Confident Spatial-Temporal Attention Transfer

no code implementations9 Sep 2019 Yucai Bai, Qin Zou, Xieyuanli Chen, Lingxi Li, Zhengming Ding, Long Chen

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.

Activity Recognition Privacy Preserving +1

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