Hella Aglaia TDAx-based ADAS algorithms for front camera
HLA-3P-ADAS-FWD-CAM-ALGORITHMS
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Description & Features

Technical documentation

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Description

HELLA Aglaia develops embedded software solutions for advanced driver assistance systems – compliant with certified industry standards and ready for hardware integration.

Leveraging the powerful deep learning capabilities of the TDA4x processor family, HELLA Aglaia’s robust image processing software allows for precise and highly efficient image analysis even when processing high-resolution camera data. The software is optimized for easy implementation into the TDA4x processor framework.

Functions
Component Task Classes

Multi-class object detection

  • Detection and localization of automotive-relevant objects

11 Classes, e.g.

  • Pedestrian Detection
  • Vehicle Detection
  • Traffic Light Detection
  • Traffic Sign Detection
  • Detection of manholes
  • Detection of building-site beacons

Semantic free space

  • Detection of driving-area limitations (objects, curbs, unmarked road boundaries)
  • Indication of limiting object
  • Road Detection
  • Roadside Detection

MonoDepth
(coming soon)

  • Generation of 3D world representation based on visual clues
  • 50-step logarithmic distance scale


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HLA-DL-ALGORITHMS:
Hella Aglaia TDAx-based ADAS algorithms for front camera



Go to Hella Aglaia
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TI Devices (7)

Part Number Name Product Family
DRA829V  Gateway & vehicle compute application processor  Automotive processors 
TDA2HG  SoC processor w/ graphics, video & vision acceleration for ADAS applications  Automotive processors 
TDA2HV  SoC processor w/ video & vision acceleration for ADAS applications  Automotive processors 
TDA2LF  SoC processor for ADAS applications  Automotive processors 
TDA2SG  SoC processor w/ highly-featured graphics, video & vision acceleration for ADAS applications  Automotive processors 
TDA2SX  SoC processor w/ full-featured graphics, video & vision acceleration for ADAS applications  Automotive processors 
TDA4VM  Next generation SoC family for L2/L3, near-field analytic systems using deep learning technologies  Automotive processors 


Technical articles

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