226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Toyota Research Institute8 papers
- Massachusetts Institute of TechnologyUS5 papers
- Toyota Central Research and Development Laboratories (Japan)JP5 papers
- Keio UniversityJP4 papers
- University of California, BerkeleyUS4 papers
- University of MichiganUS3 papers
- Ann Arbor Center for Independent LivingUS2 papers
- Columbia UniversityUS2 papers
- Georgia State UniversityUS2 papers
- IBM Research - TokyoJP2 papers
- Infotech Soft (United States)US2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
69 papers
Fusion or Confusion? Potential and Challenges in Fusion of Onboard Sensors and V2X Data in Cooperative Perception
Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi +5
Connected Automated Vehicles (CAVs) utilize their onboard sensors to perceive the environment. The perception range and accuracy can be affected by adverse weather or non-line-of-s…
Importance of Intent-Sharing for V2X-based Maneuver Coordination
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3
This paper examines the critical role of intent-sharing in enabling effective maneuver coordination for connected and automated vehicles (CAVs). Successful maneuver coordinations r…
5G NR Non-Terrestrial Networks: From Early Results to the Road Ahead
Mattia Figaro, Francesco Rossato, Marco Giordani +7
This paper overviews the 3GPP 5G NR-NTN standard, detailing the evolution from Rel. 18 to 19 and innovations for Rel. 20. Using realistic ns-3 simulations validated against 3GPP ca…
Vehicle Painting Robot Path Planning Using Hierarchical Optimization
Yuya Nagai, Hiromitsu Nakamura, Narito Shinmachi +2
In vehicle production factories, the vehicle painting process employs multiple robotic arms to simultaneously apply paint to car bodies advancing along a conveyor line. Designing p…
Orthogonal frequency-division multiplexing for simultaneous gate operations on multiple qubits via a shared control line
Haruki Mitarai, Yukihiro Tadokoro, Hiroya Tanaka
The increasing number of qubits in quantum processors necessitates a corresponding increase in the number of control lines between the processor, which is typically operated at cry…
lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
Haoxin Wang, Xiaolong Tu, Hongyu Ke +3
Large Language Models (LLMs) are increasingly integrated into everyday applications, but their prevalent cloud-based deployment raises growing concerns around data privacy and long…
Quantum algorithm for Electromagnetic Field Analysis
Hiroyuki Tezuka, Yuki Sato
Partial differential equations (PDEs) are central to computational electromagnetics (CEM) and photonic design, but classical solvers face high costs for large or complex structures…
SIMSplat: Language-Aligned 4D Gaussian Splatting for Driving Scenario Generation
Sung-Yeon Park, Adam Lee, Juanwu Lu +6
Driving scene manipulation using real-world sensor data has emerged as a promising alternative to traditional driving simulators. Despite advances in language control and neural sc…
Vision-Proprioception Fusion with Mamba2 in End-to-End Reinforcement Learning for Motion Control
Xiaowen Tao, Yinuo Wang, Jinzhao Zhou
End-to-end reinforcement learning (RL) for motion control trains policies directly from sensor inputs to motor commands, enabling unified controllers for different robots and tasks…
Short-Range Order and LiTM Probability Maps for Disordered Rocksalt Cathodes
Tzu-chen Liu, Steven B. Torrisi, Chris Wolverton
Short-range order (SRO) in the cation-disordered state is a controlling factor influencing the probability of finding Li tetrahedron clusters in disordered rocksalt (DRX) cat…
GPU-Accelerated Barrier-Rate Guided MPPI Control for Tractor-Trailer Systems
Keyvan Majd, Hardik Parwana, Bardh Hoxha +3
Articulated vehicles such as tractor-trailers, yard trucks, and similar platforms must often reverse and maneuver in cluttered spaces where pedestrians are present. We present how…
LocoMamba: Vision-Driven Locomotion via End-to-End Deep Reinforcement Learning with Mamba
Yinuo Wang, Gavin Tao
We introduce LocoMamba, a vision-driven cross-modal DRL framework built on selective state-space models, specifically leveraging Mamba, that achieves near-linear-time sequence mode…
Tailored ordering enables high-capacity cathode materials
Tzu-chen Liu, Adolfo Salgado-Casanova, So Yubuchi +7
Newly designed Li-ion battery cathode materials with high capacity and greater flexibility in chemical composition will be critical for the growing electric vehicles market. Cathod…
Joint Optimization of Electric Vehicle Routes and Charging Locations through Learning Charge Constraints Using QUBO Solvers
Akihisa Okada, Keisuke Otaki, Hiroaki Yoshida
Optimal routing problems of electric vehicles (EVs) have attracted much attention in recent years, and installation of charging stations is an important issue for EVs. Hence, we fo…
Multilevel Circuit Optimization in Quantum Compilers: A Case Study
Tamiya Onodera, Yuki Sato, Toshinari Itoko +1
In this paper, we explore multilevel circuit optimization (MLCO), where we deploy multiple gate sets and progressively lower the source circuit through the gate sets to the target…
Towards High-Voltage Cathodes for Zinc-Ion Batteries: Discovery Pipeline and Material Design Rules
Roberta Pascazio, Qian Chen, Haoming Howard Li +2
Efficient energy storage systems are crucial to address the intermittency of renewable energy sources. As multivalent batteries, Zn-ion batteries (ZIBs), while inherently low volta…
Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks
Alessandro Traspadini, Anay Ajit Deshpande, Marco Giordani +3
In 3GPP New Radio (NR) Vehicle-to-Everything (V2X), the new standard for next-generation vehicular networks, vehicles can autonomously select sidelink resources for data transmissi…
Interpretable Multimodal Machine Learning Analysis of X-ray Absorption Near-Edge Spectra and Pair Distribution Functions
Tanaporn Na Narong, Zoe N. Zachko, Steven B. Torrisi +1
We used interpretable machine learning to combine information from multiple heterogeneous spectra: X-ray absorption near-edge spectra (XANES) and atomic pair distribution functions…
In-Materia Speech Recognition
Mohamadreza Zolfagharinejad, Julian Büchel, Lorenzo Cassola +4
With the rise of decentralized computing, as in the Internet of Things, autonomous driving, and personalized healthcare, it is increasingly important to process time-dependent sign…
Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions
Saeed Rahmani, Sabine Rieder, Erwin de Gelder +6
Automated vehicles (AVs) promise to enhance transportation safety and efficiency. However, ensuring their reliability in real-world conditions remains challenging, particularly due…
Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Shiva Iyer +4
Urban air pollution hotspots pose significant health risks, yet their detection and analysis remain limited by the sparsity of public sensor networks. This paper addresses this cha…
Quantum algorithm for partial differential equations of non-conservative systems with spatially varying parameters
Yuki Sato, Hiroyuki Tezuka, Ruho Kondo +1
Partial differential equations (PDEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineerin…
Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing
Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida +2
Collecting time series data spatially distributed in many locations is often important for analyzing climate change and its impacts on ecosystems. However, comprehensive spatial da…
Simulating optically-active spin defects with a quantum computer
Jack S. Baker, Pablo A. M. Casares, Modjtaba Shokrian Zini +5
There is a pressing need for more accurate computational simulations of the opto-electronic properties of defects in materials to aid in the development of quantum sensing platform…