More than 20 manufacturers have purchased Arbe's radar
October 29, 2020
The company has announced a development platform that allows it to design and test dedicated vehicle radar systems based on its chips. Starting in 2021, it will work with automakers to optimize the dedicated needs of each of them.
Pictured above: The development kit with a vehicle radar module based on locust chips
The Tel Aviv company Arbeid announced a development platform for sensitive radar systems for the automotive industry, based on the chipset it developed specifically for ADAS systems and autonomous vehicles. The company stated that the platform was acquired by more than 20 automakers and Tier1 companies. Starting during 2021: Arbe explained that it will work with customers in order to adapt the technology to the specific needs of each of them.
Vision: Radar instead of LiDAR
The announcement comes five months after the completion of the development of the last component in the chipset: the machining chip. Locust radar is based on the use of continuous signal technology (FMCW) in which a continuous electromagnetic signal is transmitted and not pulses as in standard radar systems, where the detection is based on a Doppler effect and not on time measurement. The company estimates it completely eliminates the need for LiDAR. According to CEO Kobi Marenko, "The launch of the development platform places Arbe at the forefront of the automotive radar industry."
The company's development kit, Phoenix Evaluation Module and Development Kit 1.1, includes a complete system module with a detection range of up to 300 meters with an accuracy of up to 7.5 cm. It detects motion with a resolution of up to 0.1m / sec and includes an array of 48 transmission antennas And 48 reception antennas. The radar connects to the vehicle via an Ethernet and / or CAN channel. The system detects hundreds of objects in each frame, and refreshes the frames 30 times per second.
Description of the situation (photos on the top sides) and the radar image obtained (center) Description of the situation (photos on the top sides) and the radar image obtained (center)
In all models of autonomous driving, radar plays a key role
Locust radar chips produce a multi-dimensional (4D) image of the vehicle environment: both stationary and mobile objects. Its product is designed to compete directly with LiDAR laser sensors. According to the company, its radar is 100 times more accurate than radar systems. Competing competes, in part because it includes 2,304 channels, compared to several dozen channels in systems currently on the market. This makes it possible to provide a snapshot of 2K resolution, which ensures compliance with NCAP standards expected to enter in 2022.
In December 2019, the company completed a $ 32 million capital raising, designed to fund the completion of the development and transition to mass production. Since its inception in 2015, it has raised about $ 55 million. Autonomous driving systems are based on three types of sensors: cameras, LiDAR based laser and radar. There are two main approaches to the integration of sensing means in the autonomous vehicle. The first is that all three types of sensors should be used, . In both, the radar fills a key component.
techtime.co.il
October 29, 2020
The company has announced a development platform that allows it to design and test dedicated vehicle radar systems based on its chips. Starting in 2021, it will work with automakers to optimize the dedicated needs of each of them.
Pictured above: The development kit with a vehicle radar module based on locust chips
The Tel Aviv company Arbeid announced a development platform for sensitive radar systems for the automotive industry, based on the chipset it developed specifically for ADAS systems and autonomous vehicles. The company stated that the platform was acquired by more than 20 automakers and Tier1 companies. Starting during 2021: Arbe explained that it will work with customers in order to adapt the technology to the specific needs of each of them.
Vision: Radar instead of LiDAR
The announcement comes five months after the completion of the development of the last component in the chipset: the machining chip. Locust radar is based on the use of continuous signal technology (FMCW) in which a continuous electromagnetic signal is transmitted and not pulses as in standard radar systems, where the detection is based on a Doppler effect and not on time measurement. The company estimates it completely eliminates the need for LiDAR. According to CEO Kobi Marenko, "The launch of the development platform places Arbe at the forefront of the automotive radar industry."
The company's development kit, Phoenix Evaluation Module and Development Kit 1.1, includes a complete system module with a detection range of up to 300 meters with an accuracy of up to 7.5 cm. It detects motion with a resolution of up to 0.1m / sec and includes an array of 48 transmission antennas And 48 reception antennas. The radar connects to the vehicle via an Ethernet and / or CAN channel. The system detects hundreds of objects in each frame, and refreshes the frames 30 times per second.
Description of the situation (photos on the top sides) and the radar image obtained (center) Description of the situation (photos on the top sides) and the radar image obtained (center)
In all models of autonomous driving, radar plays a key role
Locust radar chips produce a multi-dimensional (4D) image of the vehicle environment: both stationary and mobile objects. Its product is designed to compete directly with LiDAR laser sensors. According to the company, its radar is 100 times more accurate than radar systems. Competing competes, in part because it includes 2,304 channels, compared to several dozen channels in systems currently on the market. This makes it possible to provide a snapshot of 2K resolution, which ensures compliance with NCAP standards expected to enter in 2022.
In December 2019, the company completed a $ 32 million capital raising, designed to fund the completion of the development and transition to mass production. Since its inception in 2015, it has raised about $ 55 million. Autonomous driving systems are based on three types of sensors: cameras, LiDAR based laser and radar. There are two main approaches to the integration of sensing means in the autonomous vehicle. The first is that all three types of sensors should be used, . In both, the radar fills a key component.
יותר מ-20 יצרניות רכשו את מכ"ם הרכב של Arbe - Techtime - חדשות אלקטרוניקה והייטק
החברה הכריזה על פלטפורמת פיתוח המאפשרת לתכנן ולבדוק מערכות מכ"ם רכב ייעודיות המבוססות על השבבים שלה. החל מ-2021 היא תעבוד עם יצרניות רכב על אופטימיזציה לצרכים הייעודים של כל אחת מהן
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