Results 21 to 30 of about 509,429 (267)
AI-Based Vehicle State Estimation Using Multi-Sensor Perception and Real-World Data
With the rise of vehicle automation, accurate estimation of driving dynamics has become crucial for ensuring safe and efficient operation. Vehicle dynamics control systems rely on these estimates to provide necessary control variables for stabilizing ...
Julian Ruggaber +2 more
doaj +1 more source
Vehicle Speed Control for Autonomous Vehicle using PID Controller
This project presents a real time reading of Proportional Integral Derivative (PID) controller tuning. The system will control the output speed of the vehicle based on the given input speed by implementing the PID controller. The controller helps in ensuring that the output speed achieves the same as the input speed given and does not depart. The speed
Hidayatulsherlina Razali* +2 more
openaire +1 more source
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
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
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
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
Hierarchical Evasive Path Planning Using Reinforcement Learning and Model Predictive Control
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
Tau acetylation at K331 has limited impact on tau pathology in vivo
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Simple and high‐performance cell balancing control strategy
The basis for judging whether the battery pack is balanced is generally whether the voltage of the battery cell is consistent because the voltage of the battery cell is very easy to obtain.
Zilong Chen +4 more
doaj +1 more source

