Key Responsibilities ADAS AIML, Computer vision
development and Radar Algo development
Experience in the areas of Computer Vision & Machine
Learning
- Deep knowledge & experience of :-
- 2.
- Image processing, Computer Vision, Machine / Deep Learning-Cameras-Mono camera,
- stereo camera OR LIDAR
- Stereo Camera & Lidar 3D point cloud processing, 2D
and 3D coordinate rotation and translation
- Mono & Stereo Camera Calibration & Imaging, Static, Online,
Dynamic Camera calibrations
- 3D reconstruction & depth imaging
- Simultaneous Localization & Mapping SLAM-opt
- 7.Machine learning techniques and algorithms
- 8.Building production-grade Deep learning and Neural Network
- models using Computer vision techniques
- 9.Experience with imaging or optics systemsRADAR
- Strong understanding of concepts and background in
development of topics like Kalman or extended Kalman filters, particle filter,
clustering techniques etc.
- performance measurement for algorithms like sensor
fusion, object tracking etc.
- Expertise in Radar and deep learning or machine learning
techniques on embedded platform
Technical Skills
1.Embedded
C, C++- /Python/ Matlab
- 2.Image Processing and computer vision libraries like OpenCV
- and MATLAB image processing and computer vision toolbox
- 3.Programming with strong experience in Data structures,
- algorithms and software development
- Either of the Deep Learning frameworks, such as TensorFlow, PyTorch,
Caffe MxNet- Any 1
- Common Data science tool kits
- Embedded OS, Linux,Open GL, Open CL
- Deploying Computer vision and machine learning algorithms
on edge computing hardware
- Sensor
fusion of Camera, LIDAR, RADAR, GNSS etc and perception system
- Strong mathematical background
- Ability to perform complex engineering work with minimal
guidance
Job description provided by SRM Technologies.
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