Key Responsibilities:
AI Model Development: Design and build AI models to recognize obstacles, pedestrians, lane markings, and other critical environmental elements.
Simulation Testing: Conduct simulations to evaluate the AI model's performance across various scenarios, ensuring reliability and accuracy before real-world implementation.
Integration of Sensor Technologies: Incorporate advanced sensors to enhance the motorcycle's perception capabilities.
User Interface Design: Develop an intuitive interface for riders to interact with the Intelligent Driving Assistant System, ensuring ease of use and accessibility.
Safety Protocol Development: Establish safety protocols for the AI system, including emergency response mechanisms that activate in critical situations.
Field Testing: Conduct real-world tests with prototypes to gather feedback and make necessary adjustments based on rider experiences.
Documentation and Reporting: Maintain thorough documentation throughout the R&D process to track progress, challenges, and solutions.
Qualification:
Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
Experience in AI/ML model development and simulation testing.
Strong programming skills in languages such as Python, C++, or similar.
Excellent problem-solving abilities and attention to detail.
