Results 181 to 190 of about 62,088 (282)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Strategies to develop oil palm clones for Latin American and Africa [PDF]

, 2010
Amblard, Philippe, Cochard, Benoît, De Franqueville, Hubert, Durand-Gasselin, Tristan, Labeyrie, Axel, Nouy, Bruno, Potier, Françoise   +6 more
core  

Extended Strahler Ordering to Distinguish Mapped River Channels From Overland Flow Pathways and Consistently Compare Digital Networks

River Research and Applications, EarlyView.
ABSTRACT Digital networks are virtual representations of freshwater systems that provide important inputs to, and mapping of, river classifications, simulation models, and quantitative data analyses for policy, planning, and management. Strahler order has often been used to characterize network configuration and as a proxy indicator of river channel ...
Doug Booker, Matt Wilkins, Clare Wilkinson, Rachel Smith   +3 more
wiley   +1 more source

2006 - 2007 SCOPA Activity report : document edited for 2007 SCOPA technical committee [PDF]

, 2007
Jacquemard, Jean-Charles
core  

Software to Support Remote Sensing of River Discharge Based on Critical Flow Theory

River Research and Applications, EarlyView.
ABSTRACT Water resource management requires accurate observations of streamflow but standard field methods for measuring river discharge (Q$$ Q $$) can be costly and hazardous for equipment and personnel. Remote sensing has become a viable alternative, but many image‐based techniques require field data for calibration, and depth and velocity can seldom
Carl J. Legleiter, Inhyeok Bae
wiley   +1 more source

Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches

Remote Sensing in Ecology and Conservation, EarlyView.
The abundance of herbaceous vegetation in grassy ecosystems—which cover >25% of the world's land surface—is highly variable and impacts key ecological processes including carbon sequestration and support for grazing wildlife and livestock. Here, we present a method for using high‐resolution, UAV‐borne Light Detection and Ranging (LiDAR) to estimate ...
Tyler C. Coverdale, Peter B. Boucher, Jenia Singh, Andrew B. Davies   +3 more
wiley   +1 more source

Genetic Diversity of <i>Rhodiola quadrifida</i> (Crassulaceae) in Altai High-Mountain Populations of Kazakhstan. [PDF]

Genes (Basel)
Khapilina O, Turzhanova A, Zhumagul M, Magzumova S, Raiser O, Tagimanova D, Kubentayev S, Shevtsov V.   +7 more
europepmc   +1 more source

Smithora, an intereesting new algal genus, in the Erythropeltidaceae [PDF]

, 1959
Hollenberg, G.J.
core  

Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems

Remote Sensing in Ecology and Conservation, EarlyView.
We tested the effect of using a readily available deep learning algorithm for animal species classification on the population density estimates of eight wild mammal species in 10 protected areas (Da). In general, there were no significant differences to the manual estimates (Dm) for all animal species and seasons.
Maik Henrich, Christian Fiderer, Alisa Klamm, Anja Schneider, Axel Ballmann, Jürgen Stein, Raffael Kratzer, Rudolf Reiner, Sina Greiner, Sönke Twietmeyer, Tobias Rönitz, Volker Spicher, Simon Chamaillé‐Jammes, Vincent Miele, Gaspard Dussert, Marco Heurich   +15 more
wiley   +1 more source