Results 21 to 30 of about 636,815 (304)
Sensors, 2012 This paper presents a vehicle dynamics prediction system, which consists of a sensor fusion system and a vehicle parameter identification system.
Ling-Yuan Hsu, Tsung-Lin Chen
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End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks [PDF]
, 2019 Reinforcement Learning (RL) algorithms have found limited success beyond simulated applications, and one main reason is the absence of safety guarantees during the learning process.
Burdick, Joel W. +3 more
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Lane Departure Warning Estimation Using Yaw Acceleration
Open Engineering, 2020 Lane departure collisions have contributed to the traffic accidents that cause millions of injuries and tens of thousands of casualties per year worldwide. Due to vision-based lane departure warning limitation from environmental conditions that affecting
Poh Ping Em, Hossen J., Eng Kiong Wong
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Framework for Vehicle Dynamics Model Validation
IEEE Access, 2022 Vehicle dynamics models are widely used in many areas of the automotive industry. The usability of each model depends on how well it is able to mimic the behavior of the real vehicle. Each simulation model must go through a thorough investigation process
Attila Widner +2 more
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On the global dynamics of connected vehicle systems [PDF]
Nonlinear Dynamics, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adam K. Kiss +3 more
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Vibration Control Design of Fuel Sloshing in a Spacecraft Using Virtual Actuator [PDF]
فصلنامه علوم و فناوری فضایی, 2022 This paper is dedicated to modeling of fuel sloshing dynamics and its effect on the stability and control of the space vehicle. Sloshing due to the liquid movement in the fuel tank of a space vehicle's propulsion system can be effective on the vehicle’s ...
Abdolmajid khoshnood +2 more
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Energy regeneration from suspension dynamic modes and self-powered actuation [PDF]
, 2015 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works ...
Amir Shahba, Amir +7 more
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AI-Based Vehicle State Estimation Using Multi-Sensor Perception and Real-World Data
SensorsWith 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
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IEEE AccessDeep 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
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MachinesHigh-speed rolling bearings exhibit low friction, high mechanical efficiency, low lubrication requirements, and excellent acceleration performance. The replacement of floating ring bearings in turbochargers with rolling bearings is an important tendency ...
Tangwei Li +5 more
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