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Ultrasonic sensors have been used for object detection in the automotive industry since late 1990s.
The ultrasonic technology is a popular and cost-effective solution for reverse and assisted parking.
The ultrasonic sensor-based parking systems have evolved from simply detecting an object’s presence and alerting drivers to an object’s proximity to complete autonomous parking of the car with minimal driver inputs.
Datalogic S.p.A., a company listed on the STAR segment of the Italian Stock Exchange organised and managed by Borsa Italiana S.p.A. and a global leader in the automatic data capture and process automation markets, today announced that, following Datalogic’s prior approval, its subsidiary Datalogic S.r.l. has committed to acquire the entire share capital of M.D. Micro Detectors S.p.A. from Finmasi di Marcello Masi & C. S M.D. Microdetectors is a Modena-based firm that designs, manufactures, and sells industrial sensors.
With the addition of inductive and ultrasonic sensors to its portfolio of products, the Group Datalogic will be able to strengthen its Italian and global presence in the industrial automation market, with applications in a variety of industries including electronics, pharmaceuticals, logistics, and automotive.
M.D. Micro Detectors’ highly creative content, combined with Datalogic’s product portfolio and distribution network, is a growth project aimed at establishing Italy’s key hub for sensors in the industrial automation sector.
Typically, these ultrasonic systems require between 4 to 12 sensors placed around the corners of the car.
By 2019-20, many parts of the world will require the installation of park assist systems in new cars for object detection and avoidance to improve safety.
But ultrasonic sensors also face increasing substitution risk by mm Wave radars which have bigger range, wider field of view, can identify velocity and angle of object and are largely unaffected by dirt accumulated on bumper and interference from other cars.
Apart from parking, ultrasonic sensors can also be used in measurement of oil pressure (with electric oil pump), height and pressure of air springs. Therefore, the growth of vehicle electrification will be an important driver for automotive ultrasonic sensor market.
The automotive ultrasonic sensor market is estimated at $XXM in 2023 and growing at –%CAGR till 2030.
There are more than 20 players active in the automotive ultrasonic sensor market and we have profiled the top 15.
The OE segment is driven by legislations and high growth of L1-L2 ADAS automated vehicles being sold globally.
Apart from OE segment, there is a significantly bigger market in aftermarket segment of automotive ultrasonic sensor market, catered by more than 50 players.
Traffic Information Acquisition System with Ultrasonic Sensors in Wireless Sensor Networks. Due to factors including their size, reliance on wired power supply, and wired communication, existing systems for gathering traffic statistics are expensive and have limited scalability.
Wireless sensor networks (WSNs)-based traffic information collecting systems have been recommended because of their low costs and excellent scalability.
The low computational power, constrained battery life, and significant transmission latency of WSN-based devices, however, are significant problems.
All three of these issues have not been taken into account in existing research on WSN-based acquisition systems.
Numerous issues, including increased air pollution and a rise in the number of auto accidents, have been brought about by the rising usage of automobiles, including severe traffic congestion.
Physical solutions, such as road expansions, have so far been proposed as a solution to these issues. Such techniques, however, not only have large building costs, but they also have physical restrictions.
Recently, ITSs have been researched as a way to tackle the issues with current physical techniques at lower prices and with more efficiency.
An ITS is a combination of information and transportation technology that improves both road usage efficiency and traffic safety.
The basis of an ITS is a traffic information acquisition system. A variety of traffic information gathering technologies, including inductive loop detectors, infrared sensors, and video monitoring systems, have been created.
However, because of their massive size, wired power supply, and wired communication systems, such systems are expensive and have limited scalability.
Traffic information gathering systems based on WSNs have been investigated in a wide range of application domains to achieve cheap costs and great scalability.
The low computational power, constrained battery capacity, and significant transmission latency of WSN-based devices, however, should raise serious concerns.
WSN-based acquisition methods have not taken into account all three issues at once. In addition, rather than emphasising real-world issues, most research has concentrated on theoretical ones.
Consequently, a new system that takes into account all three of WSN-based systems’ drawbacks is needed. The suggested approach reduces power usage and transmission latency.
Additionally, our system’s vehicle detecting algorithm is efficient and accurate while yet being lightweight. The suggested system has several benefits, including simple setup, cheap maintenance costs, and excellent scalability.
The technology makes use of ultrasonic sensors placed along a roadside. Our simple vehicle recognition system transforms the initial distance data collected by these sensors into traffic information.
For usage by other ITS programmes, this traffic data should be sent as soon as feasible to a central server. Additionally, there should be little power usage when delivering the traffic information.
A three-phase routing system to achieve these goals. The suggested routing technique reduces transmission latency and power usage.