Arbe Launches Automotive Grade Imaging Radar Processor Chip
By Nitin Dahad, EETimes (May 1, 2020)
Israeli startup Arbe, which has raised $55 million to date to develop a 4D imaging radar chipset, has today announced exclusively through EE Times that it has now launched its imaging radar processor chip as part of the chipset.
The company said this is the first automotive grade (AEC-Q100) dedicated imaging radar processing chip. The patented chip is capable of processing the raw data generated by 48 receiving channels and 48 transmitting channels, generating 30 frames per second, meeting automotive power constraints. This, it said, is higher than has ever been achieved on an automotive radar processing chip, while doing so in an “efficient and cost-effective manner”.
To read the full article, click here
Related Semiconductor IP
- Root of Trust (RoT)
- Fixed Point Doppler Channel IP core
- Multi-protocol wireless plaform integrating Bluetooth Dual Mode, IEEE 802.15.4 (for Thread, Zigbee and Matter)
- Polyphase Video Scaler
- Compact, low-power, 8bit ADC on GF 22nm FDX
Related News
- Arteris IP FlexNoC Interconnect Licensed by Arbe Robotics for Automotive Imaging Radar Chipset
- Arbe Robotics Selects GLOBALFOUNDRIES for its High-Resolution Imaging Radar to Enable Safety for Autonomous Cars
- Arbe Robotics Selects Synopsys' IP to Enable its High-Resolution Imaging Radar to Achieve the Highest Automotive Safety Level for Autonomous Vehicles
- Dream Chip Technologies tapes out a 10-TOPS SoC in 22nm with a novel AI Accelerator and an Automotive Functional Safety Processor
Latest News
- How hardware-assisted verification (HAV) transforms EDA workflows
- BrainChip Provides Low-Power Neuromorphic Processing for Quantum Ventura’s Cyberthreat Intelligence Tool
- Ultra Accelerator Link Consortium (UALink) Welcomes Alibaba, Apple and Synopsys to Board of Directors
- CAST to Enter the Post-Quantum Cryptography Era with New KiviPQC-KEM IP Core
- InPsytech Announces Finalization of UCIe IP Design, Driving Breakthroughs in High-Speed Transmission Technology