Results 11 to 20 of about 3,083,050 (398)
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 How should we integrate representations from complementary sensors for autonomous driving? Geometry-based fusion has shown promise for perception (e.g., object detection, motion forecasting).
Kashyap Chitta +5 more
semanticscholar +1 more source
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer [PDF]
Conference on Robot Learning, 2022 Large-scale deployment of autonomous vehicles has been continually delayed due to safety concerns. On the one hand, comprehensive scene understanding is indispensable, a lack of which would result in vulnerability to rare but complex traffic situations ...
Hao Shao +4 more
semanticscholar +1 more source
Sensors and Sensor’s Fusion in Autonomous Vehicles [PDF]
Sensors, 2021 Autonomous vehicle navigation has been at the center of several major developments, both in civilian and defense applications [...]
Andrzej Stateczny +2 more
openaire +4 more sources
FUTR3D: A Unified Sensor Fusion Framework for 3D Detection [PDF]
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Sensor fusion is an essential topic in many perception systems, such as autonomous driving and robotics. Existing multi-modal 3D detection models usually involve customized designs depending on the sensor combinations or setups.
Xuanyao Chen +4 more
semanticscholar +1 more source
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks [PDF]
IEEE Symposium on Security and Privacy, 2021 In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite various prior studies on its security issues, all of them only consider attacks on camera-or LiDAR-based AD perception alone.
Yulong Cao +8 more
semanticscholar +1 more source
Atmosphere, 2023 In order to study the influence of typical coal-fired flue gas components on the supersaturation characteristics in a multisection growth tube, a two-dimensional heat and mass transfer model was used to predict the supersaturation profiles formed by the ...
Yan Yu +6 more
doaj +1 more source
A GRAPH BASED BUNDLE ADJUSTMENT FOR INS-CAMERA CALIBRATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 In this paper, we present a graph based approach for performing the system calibration of a sensor suite containing a fixed mounted camera and an inertial navigation system.
D. Bender +5 more
doaj +1 more source
Optica Advanced Photonics Congress 2022, 2022 We present a ptychography method to fuse data from two image sensors capturing different parts of the diffraction patterns and thereby extending the numerical aperture.
Kira Maathuis +2 more
openaire +3 more sources
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion [PDF]
IEEE International Conference on Robotics and Automation, 2021 Multi-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time. Existing methods rely on depth sensors (e.g., LiDAR) to detect and track targets in 3D space,
Aleksandr Kim +2 more
semanticscholar +1 more source
Review of the Method for Distributed Multi-sensor Multi-target Tracking
Leida xuebao, 2023 Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG +4 more
doaj +1 more source