Porting and Optimization of ADAS Algorithms on Hydra DSP
Executive Summary
The client is a US-based automotive division of a Japanese conglomerate, engaged in providing automotive solutions such as car multimedia, ADAS, and autonomous technology. The company had proprietary algorithms for camera calibration and optical self-diagnosis of its ADAS system. However, the code was highly inefficient and needed to be ported from the PC to a suitable platform for car multimedia with high speed and low power consumption.
eInfochips recommended Hydra DSP and executed the porting and optimization of the client’s camera algorithm, tackling with complex technical challenges to come out with an optimal solution.
The key highlights of the project included floating point to fixed point conversion, and conversion of the entire code from C++ to C along with handling complex structures and dynamic memory, thereby overcoming the challenges of restricted memory (32 KB code memory, 4 KB DMem and 4KB DMem 2). The result was accurate, ready-to-deploy ADAS algorithms on the Broadcom chipset.
Project Highlights
- Porting of a PC-based proprietary code to Hydra DSP
- Optical Self Diagnosis and Camera Calibration for ADAS
- Development subject to stringent memory constraints
- Conversion from Floating to Fixed-point arithmetic
- Code conversion from C++ to C before portin
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Executive Summary
The client is a US-based automotive division of a Japanese conglomerate, engaged in providing automotive solutions such as car multimedia, ADAS, and autonomous technology. The company had proprietary algorithms for camera calibration and optical self-diagnosis of its ADAS system. However, the code was highly inefficient and needed to be ported from the PC to a suitable platform for car multimedia with high speed and low power consumption.
eInfochips recommended Hydra DSP and executed the porting and optimization of the client’s camera algorithm, tackling with complex technical challenges to come out with an optimal solution.
The key highlights of the project included floating point to fixed point conversion, and conversion of the entire code from C++ to C along with handling complex structures and dynamic memory, thereby overcoming the challenges of restricted memory (32 KB code memory, 4 KB DMem and 4KB DMem 2). The result was accurate, ready-to-deploy ADAS algorithms on the Broadcom chipset.
Project Highlights
- Porting of a PC-based proprietary code to Hydra DSP
- Optical Self Diagnosis and Camera Calibration for ADAS
- Development subject to stringent memory constraints
- Conversion from Floating to Fixed-point arithmetic
- Code conversion from C++ to C before portin
To download this resource
Fill in the details below
Executive Summary
The client is a US-based automotive division of a Japanese conglomerate, engaged in providing automotive solutions such as car multimedia, ADAS, and autonomous technology. The company had proprietary algorithms for camera calibration and optical self-diagnosis of its ADAS system. However, the code was highly inefficient and needed to be ported from the PC to a suitable platform for car multimedia with high speed and low power consumption.
eInfochips recommended Hydra DSP and executed the porting and optimization of the client’s camera algorithm, tackling with complex technical challenges to come out with an optimal solution.
The key highlights of the project included floating point to fixed point conversion, and conversion of the entire code from C++ to C along with handling complex structures and dynamic memory, thereby overcoming the challenges of restricted memory (32 KB code memory, 4 KB DMem and 4KB DMem 2). The result was accurate, ready-to-deploy ADAS algorithms on the Broadcom chipset.
Project Highlights
- Porting of a PC-based proprietary code to Hydra DSP
- Optical Self Diagnosis and Camera Calibration for ADAS
- Development subject to stringent memory constraints
- Conversion from Floating to Fixed-point arithmetic
- Code conversion from C++ to C before portin
To download this resource
Fill in the details below