Results 21 to 30 of about 4,557,172 (359)
LXL: LiDAR Excluded Lean 3D Object Detection With 4D Imaging Radar and Camera Fusion [PDF]
IEEE Transactions on Intelligent Vehicles, 2023 As an emerging technology and a relatively affordable device, the 4D imaging radar has already been confirmed effective in performing 3D object detection in autonomous driving.
Weiyi Xiong +5 more
semanticscholar +1 more source
Using Drone Swarms as a Countermeasure of Radar Detection
Journal of Aerospace Information Systems, 2022 The deployment of a drone swarm from carrier aircraft can support critical operations in which target aircraft should be protected by ground-based radar detection.
C. Conte +5 more
semanticscholar +1 more source
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments [PDF]
IEEE Transactions on Cognitive Communications and Networking, 2020 This work addresses dynamic non-cooperative coexistence between a cognitive pulsed radar and nearby communications systems by applying nonlinear value function approximation via deep reinforcement learning (Deep RL) to develop a policy for optimal radar ...
C. Thornton +4 more
semanticscholar +1 more source
False-Alarm-Controllable Radar Detection for Marine Target Based on Multi Features Fusion via CNNs
IEEE Sensors Journal, 2021 Due to the influence of the complex marine environment, the marine target detection based on statistical theory is difficult to achieve high-performance.
Xiaolong Chen +3 more
semanticscholar +1 more source
Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals [PDF]
IEEE Transactions on Signal Processing, 2020 In this paper, we address the problem of target detection in the presence of coherent (or fully correlated) signals, which can be due to multipath propagation effects or electronic attacks by smart jammers.
Sudan Han +5 more
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Radar maneuvering target detection in clutter background should not only consider the complex characteristics of the target to accumulate its energy as much as possible, but also suppress clutter to improve the signal-to-clutter ratio (SCR).
Xiaolong Chen +3 more
doaj +1 more source
The Journal of Engineering, 2019 Low observable moving target-detection technology under clutter background is the key factor affecting the radar performance. Here, frequency diverse array (FDA) MIMO radar is investigated for low-observable moving target detection.
Xiaolong Chen +5 more
doaj +1 more source
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer [PDF]
AAAI Conference on Artificial Intelligence, 2022 Camera and radar sensors have significant advantages in cost, reliability, and maintenance compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at the result-level, called the late fusion strategy.
Youngseok Kim +3 more
semanticscholar +1 more source
Bridging the View Disparity Between Radar and Camera Features for Multi-Modal Fusion 3D Object Detection [PDF]
IEEE Transactions on Intelligent Vehicles, 2022 Environmental perception with the multi-modal fusion is crucial in autonomous driving to increase accuracy, completeness, and robustness. This paper focuses on utilizing millimeter-wave (MMW) radar and camera sensor fusion for 3D object detection.
Taohua Zhou +5 more
semanticscholar +1 more source
Motion classification for radar moving target via STFT and convolution neural network
The Journal of Engineering, 2019 Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects ...
Xiaoqian Mou +3 more
doaj +1 more source