On-road object detection and tracking based on radar and vision fusion: A review

X Tang, Z Zhang, Y Qin - … Intelligent Transportation Systems …, 2021 - ieeexplore.ieee.org
… to the input data and fusion framework, the RV fusion methods that differ from traditional
data fusion can be classified into two types: object detection and object tracking by RV fusion. …

Mmwave radar and vision fusion for object detection in autonomous driving: A review

Z Wei, F Zhang, S Chang, Y Liu, H Wu, Z Feng - Sensors, 2022 - mdpi.com
… ) object detection, the fusion of lidar and vision in autonomous driving and multimodal information
fusion, … Data Fusion System for Ground-Based Navigation. In Proceedings of the 2019 …

Research of target detection and classification techniques using millimeter-wave radar and vision sensors

Z Wang, X Miao, Z Huang, H Luo - Remote Sensing, 2021 - mdpi.com
… In this paper, a robust object detection and classification … up a new direction for radar
data fusion research. In this study, … Data Fusion System for Ground-Based Navigation. In …

Ground to air testing of a fused optical-radar aircraft detection and tracking system

C Dolph, T Lombaerts, E Kawamura… - AIAA SCITECH 2022 …, 2022 - arc.aiaa.org
Ground-based validation of detection and tracking systems is … as a result of sensor fusion
systems incorrectly perceiving their … a vision tracking system, a radar tracking system, a radar

Automatic radar-camera dataset generation for sensor-fusion applications

A Sengupta, A Yoshizawa, S Cao - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
… Several vision-radar sensor-fusion based object recognition using … simultaneous vision
and segregated radar data from … Data Fusion System for Ground-Based Navigation,” in 2019 …

Deep learning based camera and radar fusion for object detection and classification

M Abdalwohab, W Zhang… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
… classification has been a major topic of computer vision research. Meanwhile, a number of
… network architecture object detection and classification using lowquality radar systems. Our …

Dpft: Dual perspective fusion transformer for camera-radar-based object detection

F Fent, A Palffy, H Caesar - arXiv preprint arXiv:2404.03015, 2024 - arxiv.org
… solely rely on radar data in a bird’s eye view (BEV) … 3.3 Sensor Fusion Our sensor fusion
model allows the direct … Data Fusion System for Ground-Based Navigation. In: 2019 6th …

Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review

S Yao, R Guan, X Huang, Z Li, X Sha… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
… diminish their field of view and object recognition capabilities [14]. … 1, the integration of
radar and camera data in sensor fusion … Moreover, the fusion system can operate continuously …

Deep learning derived object detection and tracking technology based on sensor fusion of millimeter-wave radar/video and its application on embedded systems

JJ Lin, JI Guo, VM Shivanna, SY Chang - Sensors, 2023 - mdpi.com
visual image and the radar image to a multi-channel array and utilize a DL object detection
model to extract the informationData Fusion System for Ground-Based Navigation. In …

Experimental testing of data fusion in a distributed ground-based sensing network for Advanced Air Mobility

F Vitiello, F Causa, R Opromolla, G Fasano… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
Sensor fusion strategies can be a powerful tool to overcome the limitations of purely visual-
or radar-based … Thus, as an additional contribution, this paper proposes a radar interference …