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FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving

机译：Fusemodnet：基于实时摄像机和LIDAR的移动对象检测，用于强大的低光自动驾驶

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Hazem Rashed; Mohamed Ramzy; Victor Vaquero; Ahmad El Sallab; Ganesh Sistu; Senthil Yogamani;
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年度 2019
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1. Real-Time Moving Object Detection based on Regional Background Modeling under a Moving Camera [J] . Yan Junhua, Wang Shunfei, Huang Wei, Journal of Imaging Science and Technology . 2017,第4期

机译：运动摄像机下基于区域背景建模的运动目标实时检测
2. Moving Object Detection and Tracking Based on Interaction of Static Obstacle Map and Geometric Model-Free Approachfor Urban Autonomous Driving [J] . Lee Hojoon, Yoon Jeongsik, Jeong Yonghwan, IEEE Transactions on Intelligent Transportation Systems . 2021,第6期

机译：基于静态障碍地图的交互和城市自主驾驶的几何模号方法的相互作用移动对象检测及跟踪
3. Multi-sensor-based detection and tracking of moving objects for relative position estimation in autonomous driving conditions [J] . Kim Jinwoo, Choi Yonggeon, Park MyungWook, Journal of supercomputing . 2020,第10期

机译：基于多传感器的检测和跟踪自动驾驶条件中相对位置估计的移动物体
4. Online Camera LiDAR Fusion and Object Detection on Hybrid Data for Autonomous Driving [C] . Koyel Banerjee, Dominik Notz, Johannes Windelen, IEEE Intelligent Vehicles Symposium . 2018

机译：在线摄像头LiDAR融合和混合数据目标检测的自动驾驶
5. Real-Time Object Detection for Autonomous Driving Based on Deep Learning. [D] . Liu, Guangrui. 2017

机译：基于深度学习的自动驾驶实时目标检测
6. Robust and Real-Time Detection and Tracking of Moving Objects with Minimum 2D LiDAR Information to Advance Autonomous Cargo Handling in Ports [O] . Victor Vaquero, Ely Repiso, Alberto Sanfeliu 2019

机译：具有最少2D LiDAR信息的鲁棒实时检测和跟踪运动对象以推进港口的自主货物装卸
7. Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving [O] . Toru Saito, Toshimi Okubo, Naoki Takahashi 2020

机译：通过立体声驾驶的立体相机鲁棒和准确的对象速度检测

FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving

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