| I&T Solution |
AI-Powered Assisted Automated Driving Assessment (AADA)
(REF: S-1976) |
| Trial Project |
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| Solution Feature |
- AI-Based Evaluation: Utilizes artificial intelligence to automatically analyze driving behavior and provide objective, data-driven assessment results.
- Multi-Angle Sensing: Integrates vehicle-mounted and elevated cameras and sensors to monitor the entire test area comprehensively.
- Environmental Adaptability: Operates reliably under varying lighting, viewing angles, and partial occlusion conditions.
- Automated Reporting: Generates complete driving test reports with synchronized video and behavioral analysis automatically.
- High-Accuracy AI Model: Trained models achieve over 90% accuracy in recognizing and assessing driving maneuvers.
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| Trial Application and Expected Outcome |
- On-Site Testing in Driving Zone: Conduct field trials within designated test areas inside the driving campus zone.
- Multi-Scenario Validation: Simulate various lighting, weather, and driving conditions to verify system stability.
- Data Collection and Training: Use repeated test data to train and optimize AI model accuracy.
- System Integration Testing: Integrate cameras, sensors, and AI servers for full functional validation.
- Performance Evaluation and Optimization: Refine algorithms and hardware setup based on real test outcomes to enhance system performance.
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| Additional Solution Information |
20251003 - Deck for EMSD.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | MultiConnect Horizon Technologies Limited | | Address | : | Suite 40, Level 76, The Center, 99 Queen's Road Central, Hong Kong | | Contact Person | : | Lawrence Wong |
| Position | : | Director | | Tel | : | 51463516 | | Email | : |
lawrence@multiconnect.com.hk |
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