Sensor Fusion
by Community · free · Last verified 2026-03-17
Combines data from multiple heterogeneous sensors — cameras, LiDAR, radar, GPS, IMU — using probabilistic filters and deep learning to produce a unified, accurate state estimate of the environment. Foundational for autonomous vehicles, drones, and any robot requiring robust situational awareness.
https://autoware.org/ ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: AEngagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- Kalman-filtering, extended-Kalman-filter, particle-filter, LiDAR-camera-fusion, IMU-integration
- Integrations
- Autoware, ROS 2, OpenCV, Point Cloud Library, GTSAM
- Use Cases
- Autonomous vehicle perception pipeline, UAV state estimation and localization, Industrial robot workspace awareness
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- probability-theory, linear-algebra, signal-processing
- Supported Agents
- Tags
- autonomous-systems, sensor-fusion, Kalman-filter, LiDAR, camera
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
66Adoption
72
Quality
86
Freshness
84
Citations
80
Engagement
0