Results 21 to 30 of about 591,408 (194)

MicronOxford/cockpit release-2.9.1

, 2021
Cockpit is a microscope graphical user interface.
Mick, tomparks, dstoychev, ARCFaria, derakon, Rick Lange, Ian Dobbie, juliomateoslangerak, David Miguel Susano Pinto, Nick Hall   +9 more
core   +1 more source

A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines [PDF]

, 2020
Nowadays an increasing number of vehicles are being equipped with powerful cockpit systems capable of collecting drivers’ footprints over time. The collection of this valuable data opens effective opportunities for routine prediction. With the growing ability of vehicles to collect spatial and temporal information solving the routine prediction problem
Carlos Fernandes, Flora J. Ferreira, Wolfram Erlhagen, Sérgio Monteiro, Estela Bicho   +4 more
openaire   +1 more source

A Review of Cockpit-driving Integration for Human-centric Autonomous Driving

, 2023
This review focuses on the integration of intelligent driving and intelligent cockpit systems. With the advancement of intelligent levels, autonomous vehicles are capable of driving in complex driving context.
Aimin Du (17275862), Shuaijie Zhao (17275851), Zhongpan Zhu (17275423), Cheng Wang (17275860)   +3 more
core   +1 more source

The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results [PDF]

, 2022
This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC). We first address the necessity of the challenge and then introduce the associated dataset collected from a new-energy vehicle (NEV) covering
Zhang, Binbin, Chen, Wei, Xie, Lei, Chng, Eng Siong, Zhang, Ao, Huang, Kaixun, Bu, Hui, Xu, Xin, Yu, Fan, Wang, Longbiao   +9 more
core  

A Two-Step E-Nose System for Vehicle Drunk Driving Rapid Detection

Applied Sciences, 2023
With the rapid development of shared cars, to reduce the phenomenon of drunk driving in shared cars, we have studied the onboard drunk driving rapid detection electronic nose system suitable for shared cars.
Fangrong Wang, Dongsheng Bai, Zhaoyang Liu, Zongwei Yao, Xiaohui Weng, Conghao Xu, Kaidi Fan, Zihan Zhao, Zhiyong Chang   +8 more
doaj   +1 more source

Intelligent coal mine data warehouse modeling method

Gong-kuang zidonghua, 2022
The coal mine massive data has problems such as 'data island', weak correlation, poor data quality due to lack of data management system. It is difficult to make full use of the data and provide analysis and decision-making support for coal mine ...
WANG Lin, FANG Qian, ZHANG Xiaoxia, SU Shanghai, SHI Zhan, WANG Yakun   +5 more
doaj   +1 more source

Software Security Analysis for Automotive Intelligent Cockpits

, 2023
With the development of software technology in the automotive industry, open-source components are increasingly penetrating into the automotive systems. Researching the security of open-source software is an important topic in automotive software security.
Yu, Longhai, Bian, Xudong, Ning, Yuqiao, Guo, Zhen   +3 more
openaire   +1 more source

Aerial Seeding for Forest and Landscape Restoration: A Systematic Review of Technology, Challenges, and Future Directions

Land Degradation &Development, EarlyView.
ABSTRACT Land degradation is a critical global challenge, threatening biodiversity, food security, and livelihoods. Ecological restoration has therefore become a priority, with aerial seeding emerging as a key method to address issues of scale, accessibility, and efficiency. By dispersing seeds from aircraft or drones, aerial seeding complements ground‐
James Maua, Stephen Kiama, Jane Njuguna, John N. Kigomo, Charles Kiprono Koech   +4 more
wiley   +1 more source

Affordance-Based Interaction Design for Intelligent Cockpit Touchscreens: Effects on Safety Perception and User Experience

Applied Sciences
As intelligent cockpit systems increasingly rely on touchscreen interaction, concerns have emerged regarding driver distraction and interaction safety. Existing studies have primarily examined physical interface design, cognitive processing, multimodal ...
Jing Li, Yulian Ma, Mo Chen
doaj   +1 more source

FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation

SmartBot, EarlyView.
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang, Hanyu Liu, Yunsheng Ma, Jian Shen, Yilin Zheng, Jiayi Wen, Zhigong Song   +6 more
wiley   +1 more source