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๐Ÿ” daniel irving bernstein ๐Ÿ“‚ Engineering
Showing 7949 results for "daniel irving bernstein" in Engineering
Engineering Preprint PDF DOI

GSDrive: Reinforcing Driving Policies by Multi-mode Trajectory Probing with 3D Gaussian Splatting Environment

Ziang Guo, Min Chen, Xuefeng Zhang, Yixiao Zhou, Zufeng Zhang, Dzmitry Tsetserukou ยท 2026

End-to-end (E2E) autonomous driving presents a promising approach for translating perceptual inputs directly into driving actions. However, prohibitive annotation costs and temporal data quality degraโ€ฆ

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Engineering Preprint PDF DOI

A MEC-Based Optimization Framework for Dynamic Inductive Charging

Emre Ak{i}skal{i}oglu, Mustafa Atmaca, Lorenzo Ghiro, Giovanni Perin, Renato Lo Cigno ยท 2026

Range anxiety and long recharging times remain critical barriers to electric vehicle adoption. Dynamic Inductive Charging (DIC) offers a compelling solution by enabling wireless power transfer while dโ€ฆ

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Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon ยท 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-looโ€ฆ

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Engineering Preprint PDF DOI

The Field of Safe Motion: Operationalizing Affordances in the Field of Safe Travel Using Reachability Analysis

Leif Johnson, Trent Victor, Johan Engstrom ยท 2026

We present the Field of Safe Motion (FSM), a quantitative safety model for determining whether a driver maintains a collision-free escape route, or "out," at any given moment by accounting for that drโ€ฆ

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Engineering Preprint PDF DOI

PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning

Yassine Ibork, Nhat Ha Nguyen, Myounggyu Won, Lokesh Das ยท 2026

We present a priority-aware intelligent lane change advisory system based on multi-agent federated reinforcement learning, namely PALCAS, for autonomous vehicles (AVs). While existing lane-change apprโ€ฆ

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Engineering Preprint PDF DOI

Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?

L.L.T.C. Jansen, E. Petri, M. van Berkel, W.P.M.H. Heemels ยท 2026

Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the route to practical nuโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Minimum-Energy Operating-Point Tracking for Battery-Powered Micro DC Motors Under Dynamically Variable Loading

Tzu-Hsiang Huang, Haojian Lu, Hen-Wei Huang, Tan Rong ยท 2026

Micro DC brushed motors are widely deployed in battery-powered biomedical systems, where limited energy budgets and variable physiological loading impose stringent efficiency and safety constraints. Hโ€ฆ

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Engineering Preprint PDF DOI

Unfitted Multi-Level hp Refinement for Localized and Moving Solution Features

Jan Niklas Schmake, Martin Ruess ยท 2026

Localized features such as singularities, sharp gradients, discontinuities, and moving sources require adaptive finite element discretizations. Conventional refinement strategies introduce significantโ€ฆ

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Engineering Preprint PDF DOI

UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition

Chong-Xin Gan, Peter Bell, Man-Wai Mak, Zhe Li, Zezhong Jin, Zilong Huang, Kong Aik Lee ยท 2026

The joint training of speech enhancement and speaker embedding networks for speaker recognition is widely adopted under noisy acoustic environments. While effective, this paradigm often fails to leverโ€ฆ

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Engineering Preprint PDF DOI

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution

Chuyao Fu, Shengzhe Gan, Zhuoli Ouyang, Yuhan Rui, Xiaowei Chi, Sirui Han, Jiankun Wang, Hong Zhang ยท 2026

End-to-end autonomous driving planners typically generate trajectories from current observations alone. However, real-world driving is highly dynamic, and such reactive planning cannot anticipate futuโ€ฆ

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Engineering Preprint PDF DOI

TEACar: An Open-Source Autonomous Driving Platform

Zhongzheng Zhang, Maxwell Ruyle, Andrew Kappes, Tyler Ruble, William Shaoul, Dana Moreno, Jack Penn, Ivan Ruchkin ยท 2026

Intelligent Transportation Systems (ITS) increasingly rely on vision-based perception and learning-based control, necessitating experimental platforms that support realistic hardware-in-the-loop validโ€ฆ

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Engineering Preprint PDF DOI

Sliding Mode Control for Safe Trajectory Tracking with Moving Obstacles Avoidance: Experimental Validation on Planar Robots

Shubham Sawarkar, P Sangeerth, S Saharsh, Pushpak Jagtap ยท 2026

This paper presents a unified control framework for robust trajectory tracking and moving obstacle avoidance applicable to a broad class of mobile robots. By formulating a generalized kinematic transfโ€ฆ

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Engineering Preprint PDF DOI

Projected Attainable Speed Space: A Driving Efficiency Metric Connecting Instantaneous Evaluation to Travel Time

Xiaohua Zhao, Zhaowei Huang, Chen Chen, Haiyi Yang ยท 2026

Inefficient driving behaviors, such as overly conservative yielding, remain a key obstacle to deployment of autonomous vehicles (AVs). Instantaneous driving efficiency metrics are crucial for self-driโ€ฆ

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Engineering Preprint PDF DOI

OpenPodcar2: a robust, ROS2 vehicle for self-driving research

Rakshit Soni, Chris Waltham, Md Umar Ibrahim, Mark Crampton, Charles Fox ยท 2026

OpenPodcar2 is a robust, ROS2-interfaced, low-cost, open source hardware and software, autonomous vehicle platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle. It is a modifโ€ฆ

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Engineering Preprint PDF DOI

Toward Low-Altitude Embodied Intelligence: A Sensing-Communication-Computation-Control Closed-Loop Perspective

Jihao Luo, Zesong Fei, Xinyi Wang, Shuntian Tang, Zilong Liu, Yiqing Zhou ยท 2026

The rapid growth of the low-altitude economy drives increasingly autonomous unmanned aerial vehicle (UAV) operations, giving rise to low-altitude embodied intelligence (LAEI), in which sensing, communโ€ฆ

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Engineering Preprint PDF DOI

Trajectory Planning for an Articulated Commercial Vehicle using Model Predictive Contouring Control

A.J. Aertssen, R.G.M. Huisman, I.J.M. Besselink, J. Elfring, M.J.G. van de Molengraft ยท 2026

This paper presents a trajectory planning method for articulated commercial vehicles, specifically tractor-semitrailers, based on Model Predictive Contouring Control (MPCC). Although MPCC has proven eโ€ฆ

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Engineering Preprint PDF DOI

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions

Qingwen Pu, Kun Xie, Yuxiang Liu ยท 2026

Autonomous driving systems often infer pedestrian yielding behavior from geometric and kinematic cues alone, limiting their ability to reason about visual scene context and age-dependent behavioral vaโ€ฆ

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Engineering Preprint PDF DOI

Large Language Model based Interactive Decision-Making for Autonomous Driving

Xinwei Dong, Jiyang Li, Jiabin Xie, Yang Yi, Tianshang Jia, Shiyu Fang, Ye Tian, Peng Hang ยท 2026

In high-conflict mixed-traffic scenarios involving human-driven and autonomous vehicles, most existing autonomous driving systems default to overly conservative behaviors, lack proactive interaction, โ€ฆ

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Engineering Preprint PDF DOI

An Interactive Graphical Tool to Check the Coarray Continuity of Two-Fold Redundant Sparse Arrays (TFRSAs) Under Single Sensor Failures

Namya Malik, Ashish Patwari, Sangeetha N ยท 2026

Two-fold redundant sparse arrays possess inbuilt redundancy to tackle single-element failures. This property enables them to perform accurate direction of arrival (DOA) estimation even during single sโ€ฆ

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Engineering Preprint PDF DOI

Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network

Boxiang Wang, Zhengding Luo, Dongyuan Shi, Junwei Ji, Xiruo Su, Woon-Seng Gan ยท 2026

Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter based on the Direction-โ€ฆ

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