Certified Specialist Programme in Autonomous Vehicles Perception Algorithms
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- Sensor Fusion for Autonomous Vehicles
- Object Detection and Classification using Deep Learning
- 3D Perception and Scene Understanding
- Autonomous Vehicle Perception Algorithms: Advanced Techniques
- Lidar and Radar Signal Processing
- Camera Calibration and Rectification
- Localization and Mapping for Autonomous Vehicles
- Path Planning and Motion Prediction
- Data Acquisition and Annotation for Autonomous Driving
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Career Role Description Autonomous Vehicle Perception Engineer ( Sensor Fusion , Computer Vision ) Develops and integrates advanced perception algorithms using diverse sensor data (LiDAR, Radar, Camera) for object detection, tracking, and scene understanding in autonomous driving systems.
High demand for expertise in deep learning and machine learning .
Senior Algorithm Specialist – Autonomous Driving ( Perception Algorithms , SLAM ) Leads the design, implementation, and testing of complex perception algorithms, focusing on Simultaneous Localization and Mapping (SLAM) and robust 3D environment modelling.
Requires strong leadership and advanced knowledge of robotics and AI .
AI/ML Engineer – Autonomous Vehicle Perception ( Object Detection , Classification ) Specializes in developing and optimizing machine learning models for precise object detection and classification within challenging driving scenarios.
Focus on improving accuracy and efficiency of deep neural networks .
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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