Back to articles
Volume: 30 | Article ID: art00011
Camera Radar Fusion for Increased Reliability in ADAS Applications
  DOI :  10.2352/ISSN.2470-1173.2018.17.AVM-258  Published OnlineJanuary 2018

Driven by the mandated adoption of advanced safety features enforced by governments around the global as well as strong demands for upgraded safety and convenience experience from the consumer side, the automotive industry is going through an intensified arms race of equipping vehicles with more sensors and boosted computation capacity. Among various sensors, camera and radar stand out as a popular combination offering complementary capabilities. As a result, camera radar fusion (or CRF in short) has been regarded as one of the key technology trends for future advanced driving assistant system (ADAS). This paper reports a camera radar fusion system developed at TI, which is powered by a broad set of TI silicon products, including CMOS radar, TDA SoC processor, FPD-Link II/III SerDes, PMIC, and so forth. The system is developed to not only showcase algorithmic benefits of fusion, but also the competitiveness of TI solutions as a whole in terms of coverage of capabilities, balance between performance and energy efficiency, and rich supports from the associated HW and SW ecosystem.

Subject Areas :
Views 226
Downloads 97
 articleview.views 226
 articleview.downloads 97
  Cite this article 

Ziguo Zhong, Stanley Liu, Manu Mathew, Aish Dubey, "Camera Radar Fusion for Increased Reliability in ADAS Applicationsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Autonomous Vehicles and Machines,  2018,  pp 258-1 - 258-4,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2018
Electronic Imaging
Society for Imaging Science and Technology