Results 211 to 220 of about 249,337 (265)

The Drivers of Changes in the State of Agrobiodiversity

Agrobiodiversity & Agroecology, 2023
The diversity of agricultural genetic resources is decreasing over the years and sites across the world. With the objectives of determining the drivers and their impact on agrobiodiversity particularly in Nepal, different methods e.g., focus group discussion, transact walk, key informant survey, and literature survey were used.
Bal Krishna Joshi, Devendra Gauchan, Pashupati Chaudhary, Kamal Aryal, Ram Krishna Shrestha   +4 more
openaire   +1 more source

Driver State Monitoring System

Proceedings of the 4th International Conference on Big Data and Internet of Things, 2019
Traffic crashes cause a lot of fatality and injuries every year. Robust and reliable driver monitoring system is an important step toward achieving higher vehicle autonomy level, as well as insuring the road safety and preventing road accidents. Driver states such as distraction and fatigue cause a decrease in driving performance.
Amina Guettas, Soheyb Ayad, Okba Kazar
openaire   +1 more source

Driver State Monitoring with Hierarchical Classification

2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018
While vehicle automation increases in the near future human drivers will still be responsible for monitoring of the driving environment or as a fallback for critical situations. Thus, systems for autonomy levels 2 to 3 require proper knowledge about the driver's state including, for example, the seating position, activity, or hands-on-steering-wheel ...
Patrick Weyers, Alexander Barth, Anton Kummert   +2 more
openaire   +1 more source

Truck Driver Scheduling in the United States

Transportation Science, 2012
The U.S. truck driver scheduling problem (US-TDSP) is the problem of visiting a sequence of λ locations within given time windows in such a way that driving and working activities of truck drivers comply with U.S. hours-of-service regulations. In the case of single time windows it is known that the US-TDSP can be solved in O(λ3) time.
Asvin Goel, Leendert Kok
openaire   +1 more source

Driver State Monitor from DELPHI

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005
We present an automotive-grade, real-time, vision-based driver state monitor. Upon detecting and tracking the driver's facial features, the system analyzes eye-closures and head pose to infer his/her fatigue or distraction. This information is used to warn the driver and to modulate the actions of other safety systems. The purpose of this monitor is to
N. Edenborough, Riad I. Hammoud, A. Harbach, A. Ingold, Branislav Kisacanin, Phillip Malawey, T. Newman, G. Scharenbroch, S. Skiver, Matthew R. H. Smith, Andrew Wilhelm, Gerald J. Witt, E. Yoder, Harry Zhang   +13 more
openaire   +1 more source

Driver/vehicle state estimation and detection

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
The authors present a cyber-physical systems related study on the estimation and prediction of driver states in autonomous vehicles. The first part of this study extends on a previously developed general architecture for estimation and prediction of hybrid-state systems.
Vijay Gadepally, Arda Kurt, Ashok K. Krishnamurthy 0001, Ümit Özgüner   +3 more
openaire   +1 more source

Disk schedulers for solid state drivers

Proceedings of the seventh ACM international conference on Embedded software, 2009
In embedded systems and laptops, flash memory storage such as SSDs (Solid State Drive) have been gaining popularity due to its low energy consumption and durability. As SSDs are flash memory based devices, their performance behavior differs from those of magnetic disks.
Jaeho Kim, Yongseok Oh, Eunsam Kim, Jongmoo Choi, Donghee Lee 0001, Sam H. Noh   +5 more
openaire   +1 more source

Detecting of Fatigue States of a Car Driver

2000
This paper deals with research on fatigue states of car drivers on freeways and similar roads. All experiments are performed on-the-road. The approach is based on the assumption that fatigue indicators can be derived from driver+car system behaviour by measuring and processing appropriate factors.
Roman Bittner, Pavel Smrcka, Petr Vysoký, Karel Hána, Lubomir Pousek, Petr Schreib   +5 more
openaire   +1 more source

Driver internal state estimative model for distracted state detection

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
For this study, using Bayesian Network (BN) to graphically express the interrelationship between safety confirmation behaviors for driving scene and driver's internal state, we analyze correlations between characteristic body information (i.e., eye-gaze / face orientation) and operation information (i.e., steering wheel, accelerator, and brake), when ...
Masafumi Sawataishi, Kazuhito Sato, Hirokazu Madokoro, Momoyo Ito, Sakura Kadowaki   +4 more
openaire   +1 more source

Detection and analysis: driver state with electrocardiogram (ECG)

Physical and Engineering Sciences in Medicine, 2020
Driver drowsiness, fatigue and inattentiveness are the major causes of road accidents, which lead to sudden death, injury, high fatalities and economic losses. Physiological signals provides information about the internal functioning of human body and thereby provides accurate, reliable and robust information on the driver's state.
Suganiya Murugan, Jerritta Selvaraj, Arun Sahayadhas   +2 more
openaire   +2 more sources