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๐Ÿ” jun li ๐Ÿ“‚ Engineering
Showing 342 results for "jun li" in Engineering
Engineering Preprint PDF DOI

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain, Meng Zhang, Andreas Rausch, Vaibhav Tiwari, Mohamed Benchat ยท 2026

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate reliably. Ensuring cโ€ฆ

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Engineering Preprint PDF DOI

Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation

Fanxing Li, Shengyang Wang, Yuxiang Huang, Fangyu Sun, Shuyu Wu, Yufei Yan, Danping Zou, Wenxian Yu ยท 2026

Obstacle avoidance is a fundamental vision-based task essential for enabling quadrotors to perform advanced applications. When planning the trajectory, existing approaches both on optimization and leaโ€ฆ

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Engineering Preprint PDF DOI

Synchronous Observer Design for Landmark-Inertial SLAM with Magnetometer and Intermittent GNSS Measurements

Arkadeep Saha, Pieter van Goor, Ravi Banavar ยท 2026

In Landmark-Inertial Simultaneous Localisation and Mapping (LI-SLAM), the positions of landmarks in the environment and the robot's pose relative to these landmarks are estimated using landmark positiโ€ฆ

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Engineering Preprint PDF DOI

Location-Invariant Assessment of Flexibility Potential under Distribution System Reconfiguration

Anton Hinneck ยท 2026

The growing integration of renewable and decentralized generation increases the need for flexibility in distribution systems. This flexibility, typically represented in a PQ capability curve, is constโ€ฆ

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Engineering Preprint PDF DOI

Realtime-VLA V2: Learning to Run VLAs Fast, Smooth, and Accurate

Chen Yang, Yucheng Hu, Yunchao Ma, Yunhuan Yang, Jing Tan, Haoqiang Fan ยท 2026

In deployment of the VLA models to real-world robotic tasks, execution speed matters. In previous work arXiv:2510.26742 we analyze how to make neural computation of VLAs on GPU fast. However, we leaveโ€ฆ

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Engineering Preprint PDF DOI

Aging States Estimation and Monitoring Strategies of Li-Ion Batteries Using Incremental Capacity Analysis and Gaussian Process Regression

Moritz Landwehr, Patrick Hoher, Johannes Reuter ยท 2026

Existing approaches for battery health forecasting often rely on extensive cycling histories and continuously monitored cells. In contrast, many real-world scenarios provide only sparse information, eโ€ฆ

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Engineering Preprint PDF DOI

Integration of local and global surrogates for failure probability estimation

Audrey Gaymann, Juan M. Cardenas, Sung Min Jo, Marco Panesi, Alireza Doostan ยท 2026

This paper presents the development of an algorithm, termed the Global-Local Hybrid Surrogate (GLHS), designed to efficiently compute the probability of rare failure events in complex systems. The priโ€ฆ

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Engineering Preprint PDF DOI

FireRedASR2S: A State-of-the-Art Industrial-Grade All-in-One Automatic Speech Recognition System

Kaituo Xu, Yan Jia, Kai Huang, Junjie Chen, Wenpeng Li, Kun Liu, Feng-Long Xie, Xu Tang, Yao Hu ยท 2026

We present FireRedASR2S, a state-of-the-art industrial-grade all-in-one automatic speech recognition (ASR) system. It integrates four modules in a unified pipeline: ASR, Voice Activity Detection (VAD)โ€ฆ

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Engineering Preprint PDF DOI

Language-Invariant Multilingual Speaker Verification for the TidyVoice 2026 Challenge

Ze Li, Xiaoxiao Miao, Juan Liu, Ming Li ยท 2026

Multilingual speaker verification (SV) remains challenging due to limited cross-lingual data and language-dependent information in speaker embeddings. This paper presents a language-invariant multilinโ€ฆ

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Engineering Preprint PDF DOI

DLIOS: An LLM-Augmented Real-Time Multi-Modal Interactive Enhancement Overlay System for Douyin Live Streaming

Shuide Wen, Sungil Seok, Beier Ku, Richee Li, Yubin He, Bowen Qu, Yang Yang, Ping Su, Can Jiao ยท 2026

We present DLIOS, a Large Language Model (LLM)-augmented real-time multi-modal interactive enhancement overlay system for Douyin (TikTok) live streaming. DLIOS employs a three-layer transparent windowโ€ฆ

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Engineering Preprint PDF DOI

How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf

Wenqi Jiang, Jason Clemons, Karu Sankaralingam, Christos Kozyrakis ยท 2026

Vision-Language-Action (VLA) models have recently demonstrated impressive capabilities across various embodied AI tasks. While deploying VLA models on real-world robots imposes strict real-time infereโ€ฆ

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Engineering Preprint PDF DOI

PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes

Karkulali Pugalenthi, Jian Cheng Wong, Qizheng Yang, Pao-Hsiung Chiu, My Ha Dao, Nagarajan Raghavan, Chinchun Ooi ยท 2026

Accurate, real-time, yet non-destructive estimation of internal states in lithium-ion batteries is critical for predicting degradation, optimizing usage strategies, and extending operational lifespan.โ€ฆ

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Engineering Preprint PDF DOI

Represent Micro-Doppler Signature in Orders

Weicheng Gao ยท 2026

Non-line-of-sight sensing of human activities in complex environments is enabled by multiple-input multiple-output through-the-wall radar (TWR). However, the distinctiveness of micro-Doppler signatureโ€ฆ

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Engineering Preprint PDF DOI

Analyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control

Simon Sagmeister, Panagiotis Kounatidis, Sven Goblirsch, Markus Lienkamp ยท 2026

Simulation is crucial in the development of autonomous driving software. In particular, assessing control algorithms requires an accurate vehicle dynamics simulation. However, recent publications use โ€ฆ

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Engineering Preprint PDF DOI

Impact of Physics-Informed Features on Neural Network Complexity for Li-ion Battery Voltage Prediction in Electric Vertical Takeoff and Landing Aircrafts

Eymen Ipek, Mario Hirz ยท 2026

The electrification of vertical takeoff and landing aircraft demands high-fidelity battery management systems capable of predicting voltage response under aggressive power dynamics. While data-driven โ€ฆ

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Engineering Preprint PDF DOI

Vision-Language Controlled Deep Unfolding for Joint Medical Image Restoration and Segmentation

Ping Chen, Zicheng Huang, Xiangming Wang, Yungeng Liu, Bingyu Liang, Haijin Zeng, Yongyong Chen ยท 2026

We propose VL-DUN, a principled framework for joint All-in-One Medical Image Restoration and Segmentation (AiOMIRS) that bridges the gap between low-level signal recovery and high-level semantic underโ€ฆ

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Engineering Preprint PDF DOI

Super-r\'esolution non supervis\'ee d'images hyperspectrales de t\'el\'ed\'etection utilisant un entra\^inement enti\`erement synth\'etique

Xinxin Xu, Yann Gousseau, Christophe Kervazo, Said Ladjal ยท 2026

Hyperspectral single image super-resolution (SISR) aims to enhance spatial resolution while preserving the rich spectral information of hyperspectral images. Most existing methods rely on supervised lโ€ฆ

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Engineering Preprint PDF DOI

Blind Ultrasound Image Enhancement via Self-Supervised Physics-Guided Degradation Modeling

Shujaat Khan, Syed Muhammad Atif, Jaeyoung Huh, Syed Saad Azhar ยท 2026

Ultrasound (US) interpretation is hampered by multiplicative speckle, acquisition blur from the point-spread function (PSF), and scanner- and operator-dependent artifacts. Supervised enhancement methoโ€ฆ

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Engineering Preprint PDF DOI

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part B: Cycling operation

Lucu M., Martinez-Laserna E., Gandiaga I., Liu K., Camblong H., Widanage W.D., Marco J ยท 2026

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictionsโ€ฆ

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Engineering Preprint PDF DOI

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part A: Storage operation

Lucu M., Martinez-Laserna E., Gandiaga I., Liu K., Camblong H., Widanage W.D., Marco J ยท 2026

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictionsโ€ฆ

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