Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities

S Wang, L Mei, R Liu, W Jiang, Z Yin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …

Which framework is suitable for online 3d multi-object tracking for autonomous driving with automotive 4d imaging radar?

J Liu, G Ding, Y **a, J Sun, T Huang… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
Online 3D multi-object tracking (MOT) has recently received significant research interests
due to the expanding demand of 3D perception in advanced driver assistance systems …

Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors

L Cheng, A Sengupta, S Cao - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Autonomous driving holds great promise in addressing traffic safety concerns by leveraging
artificial intelligence and sensor technology. Multi-Object Tracking plays a critical role in …

Deep learning and multi-modal fusion for real-time multi-object tracking: Algorithms, challenges, datasets, and comparative study

X Wang, Z Sun, A Chehri, G Jeon, Y Song - Information Fusion, 2024 - Elsevier
Real-time multi-object tracking (MOT) is a complex task involving detecting and tracking
multiple objects. After the objects are detected, they are assigned markers, and their …

[HTML][HTML] 汽车毫米波雷达信号处理技术综述

黄岩, 张慧, 邓坤, 杨阳, 张睿哲, 刘江, 张彦君… - 雷达学报, 2023 - radars.ac.cn
作为高级驾驶辅助系统(ADAS) 核心之一的汽车毫米波雷达因其具有全天时, 全天候, 小型化,
集成度高等优势, 提供了关键的感知能力, 逐渐成为国内外学者及厂商关注的焦点 …

[HTML][HTML] Overview of Signal Processing Techniques for Automotive Millimeter-wave Radar

H Yan, Z Hui, LAN Lyuhongkang, D Kun, Y Yang… - 雷达学报, 2023 - radars.ac.cn
As one of the core components of Advanced Driver Assistance Systems (ADAS), automotive
millimeter-wave radar has become the focus of scholars and manufacturers at home and …

Dual-Stream Deep Neural Network with Learnable Fusion Weights for 3D Object Detection and Recognition

OTC Chen, YW Jhao, CY Chung… - … on Computing and …, 2023 - ieeexplore.ieee.org
To enable effective obstacle avoidance in autonomous vehicles, 3D object detection and
recognition play a crucial role. Currently, there are various models for perceiving 3D objects …