Autonomous Navigation Comparison Hub
3 papers - avg viability 5.3
Top Papers
- Rethinking Gaussian Trajectory Predictors: Calibrated Uncertainty for Safe Planning(7.0)
A novel loss function for calibrating uncertainty in Gaussian trajectory predictors to enhance safe autonomous navigation.
- A Hybrid Neural-Assisted Unscented Kalman Filter for Unmanned Ground Vehicle Navigation(6.0)
A hybrid neural-assisted Kalman filter improves navigation accuracy for unmanned ground vehicles by predicting noise uncertainty from raw sensor data.
- A Beacon Based Solution for Autonomous UUVs GNSS-Denied Stealthy Navigation(3.0)
Develop acoustic beacon-based navigation for UUVs in GNSS-denied environments.