English
Related papers

Related papers: High Intensity for Accelerator Driven Systems (ADS…

200 papers

Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price. The latest…

Artificial Intelligence · Computer Science 2021-06-24 Xinran Li , Kuo-Yi Lin , Min Meng , Xiuxian Li , Li Li , Yiguang Hong , Jie Chen

Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full potential of ADSs cannot be realized unless the robustness of…

Robotics · Computer Science 2020-04-06 Ekim Yurtsever , Jacob Lambert , Alexander Carballo , Kazuya Takeda

Autonomous systems are becoming increasingly prevalent in new vehicles. Due to their environmental friendliness and their remarkable capability to significantly enhance road safety, these vehicles have gained widespread recognition and…

Robotics · Computer Science 2025-07-04 Reem Alhabib , Poonam Yadav

As the complexity of modern workloads and hardware increasingly outpaces human research and engineering capacity, existing methods for database performance optimization struggle to keep pace. To address this gap, a new class of techniques,…

Databases · Computer Science 2026-04-09 Audrey Cheng , Harald Ng , Aaron Kabcenell , Peter Bailis , Matei Zaharia , Lin Ma , Xiao Shi , Ion Stoica

Advanced driving assistance systems (ADAS) are primarily designed to increase driving safety and reduce traffic congestion without paying too much attention to passenger comfort or motion sickness. However, in view of autonomous cars, and…

With their potential to significantly reduce traffic accidents, enhance road safety, optimize traffic flow, and decrease congestion, autonomous driving systems are a major focus of research and development in recent years. Beyond these…

Robotics · Computer Science 2024-11-18 Xu Wang , Mohammad Ali Maleki , Muhammad Waqar Azhar , Pedro Trancoso

The construction of effective Recommender Systems (RS) is a complex process, mainly due to the nature of RSs which involves large scale software-systems and human interactions. Iterative development processes require deep understanding of a…

Machine Learning · Computer Science 2021-09-15 Lucas Bernardi , Sakshi Batra , Cintia Alicia Bruscantini

XAL is a high level accelerator application framework originally developed by the Spallation Neutron Source (SNS), Oak Ridge National Laboratory. It has advanced design concept and adopted by many international accelerator laboratories.…

Accelerator Physics · Physics 2013-09-18 Wang Peng-Fei , Cao Jian-She , Ye Qiang

Fundamental limitations in accelerator gradient, emittance, alignment and polarization in acceleration schemes are considered in application for novel schemes of acceleration, including laser-plasma and structure-based schemes. Problems for…

Accelerator Physics · Physics 2014-11-26 A. A. Mikhailichenko

Laser-driven plasma accelerators provide acceleration gradients three orders of magnitude greater than conventional machines, offering the potential to shrink the length of accelerators by the same factor. To date, laser-acceleration of…

Plasma Physics · Physics 2014-06-20 Simon Martin Hooker

Particle accelerators represent some of the most sophisticated engineering achievements of our time. Their construction requires a unique combination of physics insight and mechanical engineering expertise. The aim of this paper is to…

Accelerator Physics · Physics 2026-01-19 Marc Timmins

Recently, the European Commission published draft regulation for uniform procedures and technical specification for the type-approval of motor vehicles with an automated driving system (ADS). While the draft regulation is welcome progress…

Robotics · Computer Science 2021-06-07 Maria Soledad Elli , Jack Weast

The recent breakthroughs and prohibitive complexities of Deep Neural Networks (DNNs) have excited extensive interest in domain-specific DNN accelerators, among which optical DNN accelerators are particularly promising thanks to their…

Machine Learning · Computer Science 2021-08-18 Mengquan Li , Zhongzhi Yu , Yongan Zhang , Yonggan Fu , Yingyan Lin

Dielectric laser accelerators (DLAs) use the nearfields created when a laser pulse impinges on a dielectric structure to accelerate charged particles. We provide an overview of the theory of operation of photon driven accelerators, from…

Accelerator Physics · Physics 2020-08-11 N. Schonenberger , P. Hommelhoff

Advanced Driver Assistance Systems (ADAS) enhance highway safety by improving environmental perception and reducing human errors. However, misconceptions, trust issues, and knowledge gaps hinder widespread adoption. This study examines…

Machine Learning · Computer Science 2025-02-25 Hannah Musau , Nana Kankam Gyimah , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi

Autonomous Driving Systems (ADS) require diverse and safety-critical traffic scenarios for effective training and testing, but the existing data generation methods struggle to provide flexibility and scalability. We propose LASER, a novel…

Robotics · Computer Science 2024-10-25 Hao Gao , Jingyue Wang , Wenyang Fang , Jingwei Xu , Yunpeng Huang , Taolue Chen , Xiaoxing Ma

The use of hyperspectral imaging (HSI) in autonomous driving (AD), while promising, faces many challenges related to the specifics and requirements of this application domain. On the one hand, non-controlled and variable lighting…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Koldo Basterretxea , Jon Gutiérrez-Zaballa , Javier Echanobe

I discuss the scientific rationale and opportunities in the study of high energy particle accelerators away from the Earth; mostly, those outside the Solar System. I also briefly outline the features to be desired in telescopes used to…

High Energy Astrophysical Phenomena · Physics 2016-09-08 Jonathan Arons

Automated Driving System (ADS) is a safety-critical software system responsible for the interpretation of the vehicle's environment and making decisions accordingly. The unbounded complexity of the driving context, including unforeseeable…