Sensor Fusion

88 papers with code • 0 benchmarks • 2 datasets

Sensor fusion is the process of combining sensor data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. [Wikipedia]

DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and Mapping

great-whu/dba-fusion 20 Mar 2024

Visual simultaneous localization and mapping (VSLAM) has broad applications, with state-of-the-art methods leveraging deep neural networks for better robustness and applicability.

10
20 Mar 2024

GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors

nesl/gdtm 21 Feb 2024

Constantly locating moving objects, i. e., geospatial tracking, is essential for autonomous building infrastructure.

2
21 Feb 2024

Multi-View Conformal Learning for Heterogeneous Sensor Fusion

enriquegit/multiview-conformal-prediction-paper 19 Feb 2024

Our results also showed that multi-view models generate prediction sets with less uncertainty compared to single-view models.

1
19 Feb 2024

A-KIT: Adaptive Kalman-Informed Transformer

ansfl/a-kit 18 Jan 2024

In this paper, we derive and introduce A-KIT, an adaptive Kalman-informed transformer to learn the varying process noise covariance online.

2
18 Jan 2024

Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

aliansgp/RL-SAC-CARLA 27 Dec 2023

This paper proposes a novel approach by integrating sensor fusion with deep reinforcement learning, specifically the Soft Actor-Critic (SAC) algorithm, to develop an optimal control policy for self-driving cars.

7
27 Dec 2023

Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities

GuanRunwei/Achelous 14 Dec 2023

Urban water-surface robust perception serves as the foundation for intelligent monitoring of aquatic environments and the autonomous navigation and operation of unmanned vessels, especially in the context of waterway safety.

128
14 Dec 2023

LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition

ZhouZijie77/LCPR 6 Nov 2023

However, most existing multimodal place recognition methods only use limited field-of-view camera images, which leads to an imbalance between features from different modalities and limits the effectiveness of sensor fusion.

44
06 Nov 2023

RGB-X Object Detection via Scene-Specific Fusion Modules

dsriaditya999/rgbxfusion 30 Oct 2023

Multimodal deep sensor fusion has the potential to enable autonomous vehicles to visually understand their surrounding environments in all weather conditions.

10
30 Oct 2023

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning

pagand/e2etransfuser 19 Oct 2023

In end-to-end autonomous driving, the utilization of existing sensor fusion techniques and navigational control methods for imitation learning proves inadequate in challenging situations that involve numerous dynamic agents.

5
19 Oct 2023

OceanBench: The Sea Surface Height Edition

jejjohnson/oceanbench NeurIPS 2023

It provides plug-and-play data and pre-configured pipelines for ML researchers to benchmark their models and a transparent configurable framework for researchers to customize and extend the pipeline for their tasks.

14
27 Sep 2023