ADAS & autonomous vehicle development board & support, from TI

November 08, 2016 // By Graham Prophet
Texas Instruments is extending its Advanced Driver Assistance System (ADAS) and autonomous vehicle System-on-Chip (SoC) portfolio, with the availability of a new development board and a growing ecosystem.

RT-RK, an embedded services and product development company working in digital signal processing software development, along with TI, is announcing the availability of the RT-RK Alpha development board. Using the TDAx SOC, the development board supports development of ADAS applications such as advanced warning systems, active control systems and semi-autonomous driving. In addition, engineers using the RT-RK have access to a broad TDAx SOC ecosystem to enable quick time to market with TDAx-based hardware and software solutions.


At the core of the development board are three of TI’s TDA2x processors, which enable a development system capable of running up to six independent ADAS applications simultaneously at 24W. The development board was developed to help engineers meet the high performance requirements necessary to develop ADAS or autonomous solutions by minimizing the effort to evaluate the full capabilities of multiple TDA2x SoCs. It supports 10 sensor inputs, parallel ADAS application execution and production ready ADAS algorithms and is based on TI’s Vision SDK. The board was designed to support multiple applications on a single board, and with provisions to add differentiating algorithms, it is suitable for developing autonomous vehicle solutions.


“Working with TI, we are able to bring a unique platform to the ADAS and autonomous vehicle market. For the first time, there is an option to connect all vehicle cameras on one ECU. Through workload balancing across three TDA2x, the Alpha board is a powerful platform for level-3 and level- 4 autonomous vehicle systems,” said Tomislav Maruna, head of the automotive business unit, RT-RK.


The TDA2x SoC is a member of TI’s scalable family of processors that share a common hardware and software architecture for ADAS applications such as camera-based front (mono/stereo), rear, surround view and night vision, plus multi-mode radar and sensor fusion systems. The TDA2x supports video processing algorithms and with multiple SOCs optimizes the processing load.


TI’s ecosystem network covers a range of technical