Benchmarking neural radiance fields for autonomous robots: An overview

Y Ming, X Yang, W Wang, Z Chen, J Feng… - … Applications of Artificial …, 2025 - Elsevier
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …

Scene Representations for Robotic Spatial Perception

R Mascaro, M Chli - Annual Review of Control, Robotics, and …, 2024 - annualreviews.org
The ability of a robot to build a persistent, accurate, and actionable model of its surroundings
through sensor data in a timely manner is crucial for autonomous operation. While …

Efficient map fusion for multiple implicit slam agents

S Liu, J Zhu - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
Recent advances in implicit map** and positioning have yielded promising results by
leveraging the characteristics of Neural Radiance Fields (NeRFs). NeRFs enable the …

Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM

T Hua, L Wang - Proceedings of the IEEE/CVF Conference …, 2024 - openaccess.thecvf.com
Implicit neural representation (INR) in combination with geometric rendering has recently
been employed in real-time dense RGB-D SLAM. Despite active research endeavors being …

Hero-slam: Hybrid enhanced robust optimization of neural slam

Z ** (SLAM) is a fundamental task in robotics, driving
numerous applications such as autonomous driving and virtual reality. Recent progress on …