no code implementations • 17 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.
1 code implementation • 9 Nov 2024 • Mei Qiu, Lauren Ann Christopher, Stanley Chien, Lingxi Li
Vision Transformers (ViTs) have shown exceptional performance in vehicle re-identification (ReID) tasks.
no code implementations • 20 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.
no code implementations • 6 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.
no code implementations • 13 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.
no code implementations • 10 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.
no code implementations • 13 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.
no code implementations • 2 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.
no code implementations • 17 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.
Ranked #2 on
Traffic Prediction
on PeMS04
no code implementations • 14 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.
no code implementations • 14 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.
1 code implementation • 7 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).
no code implementations • 8 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.
no code implementations • 17 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.
1 code implementation • 8 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.
Ranked #16 on
3D Point Cloud Classification
on ScanObjectNN
no code implementations • 24 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.
no code implementations • 22 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.
no code implementations • 22 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.
no code implementations • 22 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.
no code implementations • 22 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.
no code implementations • 9 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.