Browse State-of-the-Art › Sensor Fusion
Sensor Fusion
127 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
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]
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 127 papers with code (509 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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7 Oct 2019 7 repositories listedThe homogeneous transformation between a LiDAR and monocular camera is required for sensor fusion tasks, such as SLAM.
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3 Apr 2022 4 repositories listedIn addition, considering the property of sparse global distribution and density-varying local distribution of pedestrians, we further propose a novel method, Density-aware Hierarchical heatmap Aggregation (DHA), to…
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22 Nov 2019 4 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedSurprisingly, lidar-only methods outperform fusion methods on the main benchmark datasets, suggesting a gap in the literature.
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23 Aug 2019 4 repositories listedBecause of the LiDAR sensors' nature, rapidly changing ambient lighting will not affect the detection of a LiDARTag; hence, the proposed fiducial marker can operate in a completely dark environment.
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11 Jan 2019 4 repositories listedWe highlight that our system is a general framework, which can easily fuse various global sensors in a unified pose graph optimization.
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2 May 2018 4 repositories listed Syntology ran 0 of 4 samples · 4 unverifiedIt is valuable to fuse outputs from multiple sensors to boost overall performance.
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31 May 2022 3 repositories listed Syntology ran 1 of 5 samples · 4 unverifiedAt the time of submission, TransFuser outperforms all prior work on the CARLA leaderboard in terms of driving score by a large margin.
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14 Sep 2021 3 repositories listedWe define the failures (e.
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10 Sep 2021 3 repositories listedMoreover, to make R3LIVE more extensible, we develop a series of offline utilities for reconstructing and texturing meshes, which further minimizes the gap between R3LIVE and various of 3D applications such as…
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29 Apr 2021 3 repositories listed Syntology ran 0 of 4 samples · 4 unverifiedMulti-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time.
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10 Nov 2020 3 repositories listedIn this paper, we focus on the problem of radar and camera sensor fusion and propose a middle-fusion approach to exploit both radar and camera data for 3D object detection.
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19 Feb 2020 3 repositories listed Syntology ran 1 of 12 samples · 11 unverifiedWe dub this problem amodal scene layout estimation, which involves "hallucinating" scene layout for even parts of the world that are occluded in the image.
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29 Nov 2017 3 repositories listedWe present PointFusion, a generic 3D object detection method that leverages both image and 3D point cloud information.
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27 Apr 2024 2 repositories listedOur proposal uses the novel progressive-assemble strategy of vision transformers on a double-direction network and then integrates the results in a cross-fusion strategy over the transformer decoder layers.
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27 Dec 2023 2 repositories listedThis 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.
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20 Apr 2023 2 repositories listedDriven by deep learning techniques, perception technology in autonomous driving has developed rapidly in recent years, enabling vehicles to accurately detect and interpret surrounding environment for safe and efficient…
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28 Feb 2023 2 repositories listedThe proposed solution enables superior performance under various distortion levels in detection over current state-of-art methods.
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26 May 2022 2 repositories listed Syntology ran 3 of 10 samples · 7 unverifiedMulti-sensor fusion is essential for an accurate and reliable autonomous driving system.
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20 Mar 2022 2 repositories listed Syntology ran 7 of 19 samples · 12 unverifiedSensor fusion is an essential topic in many perception systems, such as autonomous driving and robotics.
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19 Jul 2021 2 repositories listedOur application problem is the monitoring of lake ice on Alpine lakes.
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7 Jun 2021 2 repositories listedQuantification of uncertainty in point cloud matching is critical in many tasks such as pose estimation, sensor fusion, and grasping.
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19 Apr 2021 2 repositories listed Syntology ran 9 of 15 samples · 6 unverifiedHow should representations from complementary sensors be integrated for autonomous driving?
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19 Apr 2019 2 repositories listed2) One-click annotation: Instead of drawing 3D bounding boxes or point-wise labels, we simplify the annotation to just one click on the target object, and automatically generate the bounding box for the target.
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16 Mar 2018 2 repositories listedIn this paper, we provide a sensor fusion scheme integrating camera videos, consumer-grade motion sensors (GPS/IMU), and a 3D semantic map in order to achieve robust self-localization and semantic segmentation for…
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8 Jul 2025 1 repository listedThen, a RANSAC-based technique was developed to fuse the information from the RGB and event channels to achieve pose estimation that leveraged the strengths of the two modalities.
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21 May 2025 1 repository listedMultispectral object detection aims to leverage complementary information from visible (RGB) and infrared (IR) modalities to enable robust performance under diverse environmental conditions.
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24 Apr 2025 1 repository listedTo capture the complexity in human activities, DARai is annotated at three levels of hierarchy: (i) high-level activities (L1) that are independent tasks, (ii) lower-level actions (L2) that are patterns shared between…
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Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs8 Apr 2025 1 repository listedSeamless operation of mobile robots in challenging environments requires low-latency local motion estimation (e.
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4 Apr 2025 1 repository listedThis study introduces a novel ground obstacle detection system for e-scooters, integrating an RGB camera, and a depth camera to enhance real-time road hazard detection.
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3 Apr 2025 1 repository listedFurthermore, existing methods face difficulties in effectively modeling inter-view relationships and enhancing spatial feature learning.
Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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