Results 31 to 40 of about 1,977,325 (303)

train_fmu_gym: A Functional Mock-up Unit-Based Framework to Train Reinforcement Learning Agents for Multi-Physical Systems

open access: yesIEEE Access
Deep reinforcement learning (DRL) has become increasingly popular for solving sequential decision-making problems in control applications, particularly for multi-physical systems such as vehicle and robotic motion control.
Johannes Ultsch   +2 more
doaj   +1 more source

Insights into adaptive cruise control and energy efficiency in electric vehicles

open access: yesnpj Sustainable Mobility and Transport
This observational study explores the effect of adaptive cruise control (ACC) on energy in electric vehicles (EVs) and contrasts the findings with prior research on internal combustion engine (ICE) vehicles.
Ayman Moawad   +4 more
doaj   +1 more source

Attitude control system [PDF]

open access: yes, 1976
An attitude control system is described in which angular rate signals are generated by rate gyros mounted closely adjacent to gimbaled engines at the rear of a vehicle.
Rupp, C. C., Vonpragenau, G. L.
core   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Automated Merging in a Cooperative Adaptive Cruise Control (CACC) System [PDF]

open access: yes, 2011
Cooperative Adaptive Cruise Control (CACC) is a form of cruise control in which a vehicle maintains a constant headway to its preceding vehicle using radar and vehicle-to-vehicle (V2V) communication.
Heijenk, Geert   +2 more
core   +7 more sources

Learning Latent Representation of Freeway Traffic Situations from Occupancy Grid Pictures Using Variational Autoencoder

open access: yesEnergies, 2021
Several problems can be encountered in the design of autonomous vehicles. Their software is organized into three main layers: perception, planning, and actuation.
Olivér Rákos   +3 more
doaj   +1 more source

β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1

open access: yesMolecular Oncology, EarlyView.
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero   +8 more
wiley   +1 more source

Hierarchical Evasive Path Planning Using Reinforcement Learning and Model Predictive Control

open access: yesIEEE Access, 2020
Motion planning plays an essential role in designing self-driving functions for connected and autonomous vehicles. The methods need to provide a feasible trajectory for the vehicle to follow, fulfilling different requirements, such as safety, efficiency,
Arpad Feher, Szilard Aradi, Tamas Becsi
doaj   +1 more source

How human drivers control their vehicle

open access: yes, 2006
The data presented here show that human drivers apply a discrete noisy control mechanism to drive their vehicle. A car-following model built on these observations, together with some physical limitations (crash-freeness, acceleration), led to non ...
Wagner, Peter
core   +2 more sources

Car collision avoidance with velocity obstacle approach [PDF]

open access: yes, 2019
The obstacle avoidance maneuver is required for an autonomous vehicle. It is essential to define the system's performance by evaluating the minimum reaction times of the vehicle and analyzing the probability of success of the avoiding operation.
Antonelli, Dario   +3 more
core   +1 more source

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