Environmental awareness around vehicle using ultrasonic sensors

Hosur, Priya; Shettar, Rajashekar B.; Potdar, M. B.

doi:10.1109/icacci.2016.7732200

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…The ultrasonic distance sensor, or sound detection and ranging (SONAR), exploit the ToF principle by adopting sound waves in the ultrasonic band. This kind of sensor is usually adopted to sense the area around and close to the vehicle and mostly during parking and low-speed manoeuvring, as the cost is low, so the operating range is limited [89] and the angular discrimination and sensibility to environmental conditions are low [90]]. The measurement frequency is limited.…”

Section: Ultrasonicmentioning

confidence: 99%

Architecture and Potential of Connected and Autonomous Vehicles

Pipicelli,

Gimelli,

Sessa

et al. 2024

Vehicles

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The transport sector is under an intensive renovation process. Innovative concepts such as shared and intermodal mobility, mobility as a service, and connected and autonomous vehicles (CAVs) will contribute to the transition toward carbon neutrality and are foreseen as crucial parts of future mobility systems, as demonstrated by worldwide efforts in research and industry communities. The main driver of CAVs development is road safety, but other benefits, such as comfort and energy saving, are not to be neglected. CAVs analysis and development usually focus on Information and Communication Technology (ICT) research themes and less on the entire vehicle system. Many studies on specific aspects of CAVs are available in the literature, including advanced powertrain control strategies and their effects on vehicle efficiency. However, most studies neglect the additional power consumption due to the autonomous driving system. This work aims to assess uncertain CAVs’ efficiency improvements and offers an overview of their architecture. In particular, a combination of the literature survey and proper statistical methods are proposed to provide a comprehensive overview of CAVs. The CAV layout, data processing, and management to be used in energy management strategies are discussed. The data gathered are used to define statistical distribution relative to the efficiency improvement, number of sensors, computing units and their power requirements. Those distributions have been employed within a Monte Carlo method simulation to evaluate the effect on vehicle energy consumption and energy saving, using optimal driving behaviour, and considering the power consumption from additional CAV hardware. The results show that the assumption that CAV technologies will reduce energy consumption compared to the reference vehicle, should not be taken for granted. In 75% of scenarios, simulated light-duty CAVs worsen energy efficiency, while the results are more promising for heavy-duty vehicles.

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Section: Ultrasonicmentioning

confidence: 99%

Architecture and Potential of Connected and Autonomous Vehicles

Pipicelli,

Gimelli,

Sessa

et al. 2024

Vehicles

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“…US sensors are used to detect objects in close vehicle proximity, most commonly as inputs for parking assist and side view features [38]. They allow detection of objects/targets as close as 10-15 cm, in contrast to other perception sensors (and particularly of LiDAR and RADAR, usually unable to detect objects closer than 0.5m-1m).…”

Section: Ultrasonic Sensors (Us)mentioning

confidence: 99%

A Review and Perspective on Optical Phased Array for Automotive LiDAR

Hsu

Solano-Rivas

et al. 2021

IEEE J. Select. Topics Quantum Electron.

195

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“…A brief review of the state-of-the-art ultrasonic sensor with wave propagation, atmospheric attenuation, sound wave reflection, and target tracking, along with market penetration of ultrasonic sensors, is presented in [ 135 ]. Most of the studies on ultrasonic sensor performance are presented in [ 136 , 137 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 ], which focus on the ability of sound waves to detect, reflect, and track the target. Besides, sound wave propagation in the presence of changing winds and temperatures, as well as several new designs to enhance resolution, have been introduced.…”

Section: Sensorsmentioning

confidence: 99%

“…However, the results of all experiments show that good resolution is achieved within a shorter timeframe and the target wave reflection is accurate and reliable. The authors of [ 136 , 137 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 ], suggest the use of ultrasonic sensors for near-field perception based on their experimental studies.…”

Section: Sensorsmentioning

confidence: 99%

The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review

Mohammed

Amamou

Ayevide

et al. 2020

Sensors

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Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain causes serious accidents worldwide. Therefore, it is important to be aware of the impact of weather conditions on perception performance while driving on highways and urban traffic in all weather conditions. The goal of this paper is to provide a survey of sensing technologies used to detect the surrounding environment and obstacles during driving maneuvers in different weather conditions. Firstly, some important historical milestones are presented. Secondly, the state-of-the-art automated driving applications (adaptive cruise control, pedestrian collision avoidance, etc.) are introduced with a focus on all-weather activity. Thirdly, the most involved sensor technologies (radar, lidar, ultrasonic, camera, and far-infrared) employed by automated driving applications are studied. Furthermore, the difference between the current and expected states of performance is determined by the use of spider charts. As a result, a fusion perspective is proposed that can fill gaps and increase the robustness of the perception system.

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Environmental awareness around vehicle using ultrasonic sensors

Cited by 13 publications

References 2 publications

Architecture and Potential of Connected and Autonomous Vehicles

Architecture and Potential of Connected and Autonomous Vehicles

A Review and Perspective on Optical Phased Array for Automotive LiDAR

The Perception System of Intelligent Ground Vehicles in All Weather Conditions: A Systematic Literature Review

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