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Ambarella Expands CV3 Family of Automotive AI Domain Controllers With New CV3-AD685
CV3-AD685 Provides Single-Chip Solution for Multi-Sensor Perception, Fusion and Path Planning SANTA CLARA, Calif., Jan. 05, 2023 (GLOBE NEWSWIRE) --
About this update from Ambarella, Inc.
[{"type":"text","content":"CV3-AD685 Provides Single-Chip Solution for Multi-Sensor Perception, Fusion and Path Planning\nSANTA CLARA, Calif., Jan. 05, 2023 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced at CES the introduction of the CV3-AD685, the first production version of the CV3 family of automotive AI domain controllers, targeting L2+ to L4 autonomous vehicles. Its next-generation CVflow® AI engine includes neural network processing that is 20x faster than the previous generation of CV2 SoCs, along with additional general vector processing capabilities to provide the overall performance required for full autonomous driving (AD) stack processing, including computer vision, HD radar, deep fusion and planning. It also integrates advanced image processing, a dense stereo and optical flow engine, Arm® Cortex® A78AE and R52 CPUs, an automotive GPU for visualizations, and a hardware security module (HSM). The CV3-AD685 is an “algorithm first” architecture that provides support for the entire AD software stack. “Following the recent endorsements from major tier-1 suppliers, our CV3-AD domain controller family is transforming the automotive AD and ADAS market, through its unique combination of highly efficient AI processing, advanced image processing and ultra-low power consumption,” said Fermi Wang, CEO of Ambarella. “The new CV3-AD685 delivers new mass-production price and performance options for our customers. It extends our lead in AI performance-per-watt and introduces new radar processing capabilities that uniquely enable the single-chip centralized processing of raw video and 4D imaging radar data.” The CV3-AD685’s highly-efficient CVflow AI neural vector processor (NVP) engine enables high performance, low latency, and low-power NN processing. The NVP is enhanced to efficiently enable the latest advancements in NN inference, including support for transformer networks. Additionally, the CVflow’s general vector processor (GVP) provides traditional computer vision processing while including specific optimization enhancements for HD radar. Twelve Arm Cortex A78AE CPUs and 3 dual-core, lockstep pairs of Cortex-R52 CPUs are included. CV3-AD685 is targeting ASIL-B on the chip level, with an ASIL-D safety island. The on-chip image signal processor (ISP) provides outstanding imaging in low-light conditio...