Results 51 to 60 of about 2,337 (183)

Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications

Remote Sensing
Millimeter-wave automotive radar has become an essential tool for autonomous driving, providing reliable sensing capabilities under various environmental conditions.
Pengyu Jiang, Silin Gao, Jie Zhao, Zhe Zhang, Bingchen Zhang   +4 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Radar Transformer: An Object Classification Network Based on 4D MMW Imaging Radar

Sensors, 2021
Automotive millimeter-wave (MMW) radar is essential in autonomous vehicles due to its robustness in all weather conditions. Traditional commercial automotive radars are limited by their resolution, which makes the object classification task difficult ...
Jie Bai, Lianqing Zheng, Sen Li, Bin Tan, Sihan Chen, Libo Huang   +5 more
doaj   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Cascaded Kalman filter for target tracking in automotive radar

The Journal of Engineering, 2019
In automotive anti-collision radar system, the accuracy of velocity is one of the key indicators to measure radar performance. For frequency modulation continuous wave radar with chirp sequence, which is commonly used in automotive radar, there are two ...
Yang Li, Can Liang, Man Lu, Xueyao Hu, Yanhua Wang   +4 more
doaj   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

A Waveform and Velocity Ambiguity Resolution Method for Corner Radar

Applied Sciences
Millimeter-wave radar is experiencing an increasing demand for higher resolution and elevation measurement, necessitating its evolution from 3D millimeter-wave radar systems to 4D millimeter-wave radar.
Yu Liu, Dan Zhang, Shuo Wang, Jiazai Liu
doaj   +1 more source

Leading the Loop: Anchor‐Led Orchestration in Nascent Circular Ecosystems—A Qualitative Case Study

Business Strategy and the Environment, EarlyView.
ABSTRACT The transition towards a circular economy necessitates coordinated, systemic change across value chains. Yet the role of anchor firms in initiating and orchestrating nascent circular ecosystems remains underexplored. Using an inductive, qualitative single‐case design, we analyse a German mid‐sized entrepreneurial firm, drawing on 21 interviews
Johann Felix Mader, Patrick Spieth
wiley   +1 more source

Effort Considerations of Compressed Sensing for Automotive Radar [PDF]

2019 IEEE Radio and Wireless Symposium (RWS), 2019
The application of iterative compressed sensing algorithms for automotive radar is often considered as too complex for real-time evaluation. In this paper, it is shown that the number of required iterations can be chosen considerable low. To determine the necessary steps, a quality criterion is evaluated.
Fabian Roos, Philipp Hügler, Jonathan Bechter, Muhammad Ahsan Razzaq, Christina Knill, Nils Appenrodt, Jürgen Dickmann, Christian Waldschmidt   +7 more
openaire   +2 more sources

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source