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Showing 335 results for "jun li" in Engineering · Preprint
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 · 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 c…

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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 · 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 lea…

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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 · 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 positi…

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Engineering Preprint PDF DOI

Location-Invariant Assessment of Flexibility Potential under Distribution System Reconfiguration

Anton Hinneck · 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 const…

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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 · 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 leave…

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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 · 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, e…

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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 · 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 pri…

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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 · 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)…

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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 · 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 multilin…

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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 · 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 window…

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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 · 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 infere…

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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 · 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.…

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Engineering Preprint PDF DOI

Represent Micro-Doppler Signature in Orders

Weicheng Gao · 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 signature…

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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 · 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 …

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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 · 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 …

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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 · 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 under…

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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 · 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 l…

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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 · 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 metho…

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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 · 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 predictions…

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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 · 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 predictions…

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