Toward a Methodology for Assessing Electric Vehicle Exterior Sounds

Singh, Sneha; Payne, Sarah R.; Jennings, Paul

doi:10.1109/tits.2014.2327062

Cited by 24 publications

(6 citation statements)

References 18 publications

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“…First, verbally instructed actions that endanger human being’s safety should be rejected or be carefully assessed by the robotic systems. 120 This requires NLC systems to have safety-related common sense for safety issue understanding and prediction. Second, the verbal abuse from either a human to a robot or from a robot to a human should be avoided, because verbal abuse will make a human feel uncomfortable psychologically and finally influence the performance of NLC systems.…”

Section: Discussionmentioning

confidence: 99%

A review of methodologies for natural-language-facilitated human–robot cooperation

Liu

Zhang

2019

International Journal of Advanced Robotic Systems

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Natural-language-facilitated human-robot cooperation (NLC) refers to using natural language (NL) to facilitate interactive information sharing and task executions with a common goal constraint between robots and humans. Recently, NLC research has received increasing attention. Typical NLC scenarios include robotic daily assistance, robotic health caregiving, intelligent manufacturing, autonomous navigation, and robot social accompany. However, a thorough review, that can reveal latest methodologies to use NL to facilitate human-robot cooperation, is missing. In this review, a comprehensive summary about methodologies for NLC is presented. NLC research includes three main research focuses: NL instruction understanding, NLbased execution plan generation, and knowledgeworld mapping. In-depth analyses on theoretical methods, applications, and model advantages and disadvantages are made. Based on our paper review and perspective, potential research directions of NLC are summarized. Index Terms-natural language, human-robot cooperation, NL instruction understanding, NLbased execution plan generation, knowledge-world mapping _______________________________________ Rui Liu and Xiaoli Zhang are with the Intelligent Robotics and Systems Lab (IRSL), Colorado School of Mines,

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Section: Discussionmentioning

confidence: 99%

A review of methodologies for natural-language-facilitated human–robot cooperation

Liu

Zhang

2019

International Journal of Advanced Robotic Systems

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“…Yet, several countries such as Japan and the United States of America already decided that adding artificial sounds to EVs is compulsory (Konet et al, 2011). Many studies have been conducted to recommend design guidance for external sound generation systems for EVs (Senselab, 2011), (Robart et al, 2013), (Singh et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

A genetic approach for the interactive design of sounds: Application to electric vehicles

Petiot

2022

Nonfood Sesory Practices

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“…Noise reduction inside a vehicle improves the sound quality of the vehicle interior space, which leads to a better passenger comfort, better driving experience, and less distractions for the driver. In addition, improving vehicle interior sound quality by reducing noise will enhances perception of the vehicle brand by customers; so that the vehicle will attract more buyers and gain a competitive advantage in the market [1,2]. The primary noise sources in a vehicle can broadly be classified as powertrain noise, aerodynamic noise, and tyre-road noise [3].…”

Section: Introductionmentioning

confidence: 99%

Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study

et al. 2021

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Reducing the noise and improving the sound quality of vehicles’ interior space is one of the challenges to enhance passengers’ experience. This is an ever-growing issue as entirely electric cars are becoming commonplace, making previously unnoticed noise a significant problem. Heating, Ventilation and Air Conditioning (HVAC) units are a major noise source in a vehicle’s interior space, yet automotive manufacturers only give a maximum dB specification to HVAC unit manufactures. Problematic noise is only typically identified once the unit is within the vehicle at the late stages of a project. Psychoacoustics is the study of human perception to sound, allowing unpleasant noise to be identified within recorded data. Within this study, an industrial prototype HVAC unit was analysed using a 96-channel acoustic camera capable of isolating and locating noise sources from the unit using beamforming. In addition to identifying the location of noise sources, several psychoacoustic metrics were used, such as sharpness and loudness, to identify undesirable noise within an extensive data set due to the vast range of test configurations. Testing was conducted to analyse the unit. Within the initial testing, an ‘annoying’ sound was identified at a particular motor RPM, and this was located using the camera to an area which indicated that it was a result of structural resonance. In addition, present was a high-frequency source which could not be located accurately. The results of this testing enable modifications to the unit to be made early in its’ development, either structurally to alter the resonance of the unit or within the settings to ensure certain RPMs are avoided.

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Toward a Methodology for Assessing Electric Vehicle Exterior Sounds

Cited by 24 publications

References 18 publications

A review of methodologies for natural-language-facilitated human–robot cooperation

A review of methodologies for natural-language-facilitated human–robot cooperation

A genetic approach for the interactive design of sounds: Application to electric vehicles

Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study

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