A Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications

Autor: Manu Mathew, Kedar Chitnis, Anshu Jain, Hrushikesh Garud, Mihir Mody, Pramod Kumar Swami, Kumar Desappan, Prashanth Viswanath, Mayank Mangla, Shashank Dabral, Shyam Jagannathan, Vikram Appia, Soyeb Nagori, Sujith Shivalingappa, Deepak Kumar Poddar
Rok vydání: 2016
Předmět:
Zdroj: CVPR Workshops
DOI: 10.1109/cvprw.2016.107
Popis: Advanced driver assistance systems (ADAS) are becoming more and more popular. Lot of the ADAS applications such as Lane departure warning (LDW), Forward Collision Warning (FCW), Automatic Cruise Control (ACC), Auto Emergency Braking (AEB), Surround View (SV) that were present only in high-end cars in the past have trickled down to the low and mid end vehicles. Lot of these applications are also mandated by safety authorities such as EUNCAP and NHTSA. In order to make these applications affordable in the low and mid end vehicles, it is important to have a cost effective, yet high performance and low power solution. Texas Instruments (TI's) TDA3x is an ideal platform which addresses these needs. This paper illustrates mapping of different algorithms such as SV, LDW, Object detection (OD), Structure From Motion (SFM) and Camera-Monitor Systems (CMS) to the TDA3x device, thereby demonstrating its compute capabilities. We also share the performance for these embedded vision applications, showing that TDA3x is an excellent high performance device for ADAS applications.
Databáze: OpenAIRE