Numerical and experimental-based framework for vibro-acoustic coupling investigation on a vehicle door in the slamming event

Liu, Zhe; Gao, Yunkai; Yang, James

doi:10.1016/j.ymssp.2021.107759

Cited by 9 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Longitudinal comparison shows that the RRT algorithm may make detours when finding the way, while the RRT* algorithm and Informed RRT* algorithm's paths are relatively smooth [9].…”

Section: Analysis Of the Simulation Resultsmentioning

confidence: 99%

Simulation and Implementation of Robot Obstacle Avoidance Algorithm on ROS

Zhang

Niu

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Robots often collide in the process of simulation soccer match. The collision will block the robot’s own motion trajectory, which is not conducive to the robot’s ball grasping and defense. Considering that the obstacles have the characteristics of dynamics, antagonism and uncertainty, the robot’s motion trajectory, path selection and obstacle avoidance are very important. Taking ROS as the research platform, the study focuses on the path planning of simulated soccer robot. Meanwhile, we have applied some obstacle avoidance algorithms to the Middle Size Simulation League of soccer.

show abstract

“…Longitudinal comparison shows that the RRT algorithm may make detours when finding the way, while the RRT* algorithm and Informed RRT* algorithm's paths are relatively smooth [9].…”

Section: Analysis Of the Simulation Resultsmentioning

confidence: 99%

Simulation and Implementation of Robot Obstacle Avoidance Algorithm on ROS

Zhang

Niu

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…There is research on the impact of noise on sleep and mental health [5][6][7], on the development of cognitive processes in children [8], and on the increase of risk of heart diseases [9,10] and diabetes [11]. Recent studies present contributions to identifying and optimizing vehicle interior noise [12][13][14][15][16][17], approaching different noise sources. The sound quality of the vehicle cabin is also essential for various in-vehicle applications, such as multimedia [18][19][20], security [21][22][23], assistive [24][25][26], and autonomous vehicles [27,28].…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Acoustic Noise Level and Impulsiveness Inside Vehicles in Different Traffic Conditions

Flor

Pena

Oliveira

et al. 2022

Sensors

View full text Add to dashboard Cite

Recently, the issue of sound quality inside vehicles has attracted interest from both researchers and industry alike due to health concerns and also to increase the appeal of vehicles to consumers. This work extends the analysis of interior acoustic noise inside a vehicle under several conditions by comparing measured power levels and two different models for acoustic noise, namely the Gaussian and the alpha-stable distributions. Noise samples were collected in a scenario with real traffic patterns using a measurement setup composed of a Raspberry Pi Board and a microphone strategically positioned. The analysis of the acquired data shows that the observed noise levels are higher when traffic conditions are good. Additionally, the interior noise presented considerable impulsiveness, which tends to be more severe when traffic is slower. Finally, our results suggest that noise sources related to the vehicle itself and its movement are the most relevant ones in the composition of the interior acoustic noise.

show abstract