Individual skill
sensor-fusion
Multi-sensor fusion algorithms for perception in autonomous driving
library/specializations/domains/science/automotive-engineering/skills/sensor-fusion/SKILL.md
Source commit feb68abe397acc14f32b34984975c48fedba2b33
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- Last checked
- Nov 3, 2026
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- 1,898
- Repository last updated
- Nov 1, 2026
- License
- MIT
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- agent-orchestration Repository topic
- agent-skills Repository topic
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- agentic-workflow Repository topic
- ai-automation Repository topic
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- adas Declared skill tag
- autonomous-driving Declared skill tag
- perception Declared skill tag
- sensor-fusion Declared skill tag
- engineering Derived category
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SKILL.mdcore · 1,689 bytes
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# Sensor Fusion Skill
## Purpose
Enable multi-sensor fusion algorithm development for autonomous driving perception including object detection, tracking, and environmental modeling.
## Capabilities
- Camera, radar, lidar data preprocessing
- Object detection fusion algorithms
- Tracking filter implementation (Kalman, EKF, UKF)
- Association algorithms (Hungarian, GNN, JPDA)
- Occupancy grid fusion
- Confidence estimation and sensor weighting
- Time synchronization handling
- Ground truth comparison and metrics