SV-3P-ADAS_ALGORITHMS

StradVision SVNet - TDAx-based deep learning and camera based perception software

SV-3P-ADAS_ALGORITHMS

From: Stradvision
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Overview

StradVision enables deep learning-based embedded perception algorithms on TDAx for Advanced Driver Assistance Systems (ADAS) and automated driving features. SVNet's lean and light characteristics enable more headroom for mutiple simultaneous functions, swift development and optimization, and accurate perception - even in harsh conditions. StradVision also offers an auto-labeling tool and training suite for optimized ADAS and AV deployment.

Downloads

Support software

SVNET_EXTERNAL SVNet External

Supported products & hardware
Support software

SVNET_TOOLS SVNet Tools

Supported products & hardware

Supported products & hardware

Arm-based processors
TDA2HG SoC processor w/ graphics, video & vision acceleration for ADAS applications TDA2HV SoC processor w/ video & vision acceleration for ADAS applications TDA2LF SoC processor for ADAS applications TDA2SG SoC processor w/ highly-featured graphics, video & vision acceleration for ADAS applications TDA2SX SoC processor w/ full-featured graphics, video & vision acceleration for ADAS applications TDA4VM Next generation SoC family for L2/L3, near-field analytic systems using deep learning technologies
Digital signal processors (DSPs)
TDA3LA Low power SoC w/ vision acceleration for ADAS applications TDA3LX Low power SoC w/ processing, imaging & vision acceleration for ADAS applications TDA3MA Low power SoC w/ full-featured processing & vision acceleration for ADAS applications TDA3MD Low power SoC w/ full-featured processing for ADAS applications TDA3MV Low power SoC w/ full-featured processing, imaging & vision acceleration for ADAS applications

Support & training

Third-party support
TI does not offer ongoing direct design support for this software. For support while working through your design, contact Stradvision.

Videos

Disclaimer

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