Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review

Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

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
With autonomous driving developing in a booming stage, accurate object detection in
complex scenarios attract wide attention to ensure the safety of autonomous driving …

Multi-sensor fusion in automated driving: A survey

Z Wang, Y Wu, Q Niu - Ieee Access, 2019 - ieeexplore.ieee.org
With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

A deep learning-based radar and camera sensor fusion architecture for object detection

F Nobis, M Geisslinger, M Weber, J Betz… - 2019 Sensor Data …, 2019 - ieeexplore.ieee.org
Object detection in camera images, using deep learning has been proven successfully in
recent years. Rising detection rates and computationally efficient network structures are …

Millimeter wave fmcw radars for perception, recognition and localization in automotive applications: A survey

A Venon, Y Dupuis, P Vasseur… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …

Cooperative perception technology of autonomous driving in the internet of vehicles environment: A review

G Cui, W Zhang, Y Xiao, L Yao, Z Fang - Sensors, 2022 - mdpi.com
Cooperative perception, as a critical technology of intelligent connected vehicles, aims to
use wireless communication technology to interact and fuse environmental information …

Application of deep learning on millimeter-wave radar signals: A review

FJ Abdu, Y Zhang, M Fu, Y Li, Z Deng - Sensors, 2021 - mdpi.com
The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

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
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

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

X Tang, Z Zhang, Y Qin - IEEE Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

Multi-modality sensing and data fusion for multi-vehicle detection

D Roy, Y Li, T Jian, P Tian… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the recent surge in autonomous driving vehicles, the need for accurate vehicle
detection and tracking is critical now more than ever. Detecting vehicles from visual sensors …