Results 91 to 100 of about 48,846 (286)
ROITP: Road Obstacle-Involved Trajectory Planner for Autonomous Trucks
Chinese Journal of Mechanical EngineeringAutonomous trucks have the potential to enhance both safety and convenience in intelligent transportation. However, their maximum speed and ability to navigate a variety of driving conditions, particularly uneven roads, are limited by a high center of ...
Yechen Qin +3 more
doaj +1 more source
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
, 2019 Radar-based road user classification is an important yet still challenging task towards autonomous driving applications. The resolution of conventional automotive radar sensors results in a sparse data representation which is tough to recover by ...
Appenrodt, Nils +3 more
core +1 more source
Carbon emission assessment of tunnel infrastructures: From construction to operation
Deep Underground Science and Engineering, EarlyView.This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long +4 more
wiley +1 more source
International Journal of Advanced Robotic Systems, 2020 Safe lane changing of the dynamic industrial park and port scenarios with autonomous trucks involves the problem of planning an effective and smooth trajectory.
Feng Zhang, Ranfei Xia, Xinxing Chen
doaj +1 more source
, 2016 Road traffic crashes have been the leading cause of death among young people. Most of these accidents occur when the driver becomes distracted due to fatigue or external factors.
Massera, Carlos M. +2 more
core +1 more source
AI‐driven circular economy optimization in waste management: A review of current evidence
Environmental Progress &Sustainable Energy, EarlyView.Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade +3 more
wiley +1 more source
3D surround local sensing system H/W for intelligent excavation robot (IES)
Journal of Asian Architecture and Building Engineering, 2019 The recently developed intelligent excavation robot in Korea is a fully automated excavator equipped with global 3D modeling capabilities for an entire earthwork site and an intelligent task planning system.
Dong-Jun Yeom +2 more
doaj +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT This article is based on the storage test of individual batteries. We combined the data analysis with the deductive simulation to predict the health status of the entire battery pack. Besides, we combined the storage process and discharge process of the battery pack based on the single‐cell storage test.
Liteng Zeng +3 more
wiley +1 more source
Detection network for autonomous mining trucks under low-light condition
Meitan xuebaoAutonomous mining trucks often operate autonomously in low-light environments, where accurate and reliable detection performance is critical to ensuring operational safety.
Feixiang XU +5 more
doaj +1 more source
The improvement of the sanitation services in Moshi (Tanzania) [PDF]
Tanzania has created, since the mid-90s, an original institutional framework for water and sanitation management made of a mix of decentralized initiative and public control.
Amos Mhina +2 more
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