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Found 8 papers, 5 papers with code
MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception
Perception plays a crucial role in various robot applications.
PSS-BA: LiDAR Bundle Adjustment with Progressive Spatial Smoothing
The proposed method consists of a spatial smoothing module and a pose adjustment module, which combines the benefits of local consistency and global accuracy.
MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we introduce MMAUD: a comprehensive Multi-Modal Anti-UAV Dataset.
VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach
However, some issues such as estimation drift and feature-dependence still remain inherent limitations.
Robotics Systems and Control Systems and Control
Model-free Approach for Sensor Network Localization with Noisy Distance Measurement
In addition, different from the traditional filter-based localization methods which need kinetic model for localization, our proposed method is model-free and converts the localization problem to graph optimization problem.
Graph Optimization Approach to Range-based Localization
In this paper, we propose a general graph optimization based framework for localization, which can accommodate different types of measurements with varying measurement time intervals.
Robotics
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
Robust velocity and position estimation is crucial for autonomous robot navigation.
Ultra-Wideband Aided Fast Localization and Mapping System
This paper proposes an ultra-wideband (UWB) aided localization and mapping system that leverages on inertial sensor and depth camera.
Robotics
