Mid-range ADAS processor includes dedicated deep learning accelerator for the first time
eetimes.com, Feb. 04, 2020 –
TI has added a dedicated AI accelerator to one of its automotive SoCs for the first time, in a move that perfectly illustrates the growing adoption of deep learning techniques in automotive ADAS systems. The new deep learning block is based on TI's brand new C7x DSP IP plus an in-house-developed matrix multiplication accelerator.
The TDA4VM, one of the two first SoCs launched as part of the Jacinto 7 series, combines sensor pre-processing and data analytics designed to handle inputs from 8-megapixel front-mounted camera systems. Alternatively, the TDA4VM could handle four to six 3-megapixel cameras operating simultaneously alongside inputs from radar, lidar and ultrasonic sensors. These cameras and sensors enable advanced driver assistance systems (ADAS) such as automated parking. Deep learning can be used to fuse data from different sensors or to enable techniques such as object detection.