171 citations · 343 across the 10 of their papers we have counts for
10 papers
Non-Primary Channel Access in IEEE 802.11 UHR: Comprehensive Analysis and Evaluation
Dongyu Wei, Liu Cao, Lyutianyang Zhang +2
The evolution of the IEEE 802.11 standards marks a significant throughput advancement in wireless access technologies, progressively increasing bandwidth capacities from 20 MHz in…
IEEE 802.11be Network Throughput Optimization with Multi-Link Operation and AP Coordination
Lyutianyang Zhang, Hao Yin, Sumit Roy +3
IEEE 802.11be (Wi-Fi 7) introduces a new concept called multi-link operation (MLO), which allows multiple Wi-Fi interfaces in different bands (2.4, 5, and 6 GHz) to work together t…
Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain
Xiangyu Gao, Sumit Roy, Lyutianyang Zhang
Anti-collision assistance, integral to the current drive towards increased vehicular autonomy, relies heavily on precise detection and localization of moving targets in the vehicle…
Deformable Radar Polygon: A Lightweight and Predictable Occupancy Representation for Short-range Collision Avoidance
Gao Xiangyu, Ding Sihao, Dasari Harshavardhan Reddy
Inferring the drivable area in a scene is crucial for ensuring a vehicle avoids obstacles and facilitates safe autonomous driving. In this paper, we concentrate on detecting the in…
Learning to Detect Open Carry and Concealed Object with 77GHz Radar
Xiangyu Gao, Hui Liu, Sumit Roy +3
Detecting harmful carried objects plays a key role in intelligent surveillance systems and has widespread applications, for example, in airport security. In this paper, we focus on…
Perception Through 2D-MIMO FMCW Automotive Radar Under Adverse Weather
Xiangyu Gao, Sumit Roy, Guanbin Xing +1
Millimeter-wave (mmWave) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) features that require accurate locat…
MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving
Xiangyu Gao, Sumit Roy, Guanbin Xing
Millimeter-wave radars are being increasingly integrated into commercial vehicles to support advanced driver-assistance system features. A key shortcoming for present-day vehicular…
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
Xiangyu Gao, Guanbin Xing, Sumit Roy +1
Millimeter-wave radars are being increasingly integrated into commercial vehicles to support new advanced driver-assistance systems by enabling robust and high-performance object d…
RODNet: Radar Object Detection Using Cross-Modal Supervision
Yizhou Wang, Zhongyu Jiang, Xiangyu Gao +3
Radar is usually more robust than the camera in severe driving scenarios, e.g., weak/strong lighting and bad weather. However, unlike RGB images captured by a camera, the semantic…
Experiments with mmWave Automotive Radar Test-bed
Xiangyu Gao, Guanbin Xing, Sumit Roy +1
Millimeter-wave (mmW) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) for its ability to provide high accurac…