Results 81 to 90 of about 1,070,284 (327)

A study on identifying representative trips for mobility service design

IET Intelligent Transport Systems
Recently, with growing interest in urban mobility patterns, the demand for collecting and analysing origin‐destination (OD) data is increasing. Due to the large scale and dimensionality of OD data, there are two issues in analysing the data: big‐data ...
Jeongyun Kim, Sehyun Tak, Jinwon Yoon, Hwasoo Yeo   +3 more
doaj   +1 more source

Fuel-saving opportunities for automated vehicles: A driving cycle analysis

Transportation Research Interdisciplinary Perspectives, 2023
We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles.
Edgar Jungblut, Thomas Grube, Jochen Linssen, Detlef Stolten   +3 more
doaj   +1 more source

3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection

, 2017
Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and small, provide appearance information about the environment, and work in various weather conditions.
Fraundorfer, Friedrich, Furgale, Paul, Heng, Lionel, Häne, Christian, Lee, Gim Hee, Pollefeys, Marc, Sattler, Torsten   +6 more
core   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

The effect of varying levels of vehicle automation on drivers’ lane changing behaviour [PDF]

, 2017
Much of the Human Factors research into vehicle automation has focused on driver responses to critical scenarios where a crash might occur. However, there is less knowledge about the effects of vehicle automation on drivers’ behaviour during non-critical
Louw, T, Madigan, R, Merat, N
core   +2 more sources

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

Molecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad, Mahmood Hachim, Tom Bertin, Karolina Penderecka, Rifat Hamoudi, Saif Khan, Rui Henrique, Natalie Bergmoser, Manit Arya, Kalle Sipila, Matteo Vietri Rudan, Asif Muneer, Aamir Ahmed   +12 more
wiley   +1 more source

S.A.D.E.—A Standardized, Scenario-Based Method for the Real-Time Assessment of Driver Interaction with Partially Automated Driving Systems

Information, 2022
Vehicles equipped with so-called partially automated driving functions are becoming more and more common nowadays. The special feature of this automation level is that the driver is relieved of the execution of the lateral and longitudinal driving task ...
Nadja Schömig, Katharina Wiedemann, André Wiggerich, Alexandra Neukum   +3 more
doaj   +1 more source

Concurrent Optimization of Vehicle Dynamics and Powertrain Operation Using Connectivity and Automation

, 2020
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control architecture for CAVs to optimize (1) the vehicle's speed profile, aimed at ...
Mahbub, A M Ishtiaque, Malikopoulos, Andreas A.   +1 more
core   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Autonomous Driving Architectures: Insights of Machine Learning and Deep Learning Algorithms

Machine Learning with Applications, 2021
Research in Autonomous Driving is taking momentum due to the inherent advantages of autonomous driving systems. The main advantage being the disassociation of the driver from the vehicle reducing the human intervention.
Mrinal R. Bachute, Javed M. Subhedar
doaj   +1 more source