作者丨王方浩@知乎
编辑丨3D视觉工坊
这个问题算是很符合我当前的情况,对无人驾驶还不太熟悉,同时又想快速的加深了解,获取state-of-art的方法。下面是整理的相关综述论文,欢迎补充:
1. 自动驾驶综述
1.Self-Driving Cars: A Survey
2.Towards Fully Autonomous Driving: Systems and Algorithms
3.A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2. 定位
下面总结了目前主流的定位方法,以及其优缺点,参考"A Survey of Autonomous Driving: Common Practices and Emerging Technologies"需要的自取
1)state-of-art定位综述
A survey of the state-of-the-art localization techniques and their potentials for autonomous vehicle applications
2)SLAM方法在自动驾驶领域应用综述
Simultaneous localization and mapping: A survey of current trends in autonomous driving
3)斯坦福DARPA比赛开山之作,主要是关于SLAM方法
Map-Based Precision Vehicle Localization in Urban Environments Robust Vehicle Localization in Urban Environments Using Probabilistic Maps
4)百度GNSS和点云定位融合方案
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes
3. 感知
1)计算机视觉在自动驾驶应用综述
Computer Vision for Autonomous Vehicles:Problems, Datasets and State-of-the-Art
2)物体识别综述
- Object Detection With Deep Learning: A Review
- 50 Years of object recognition: Directions forward
- Deep Learning for Generic Object Detection: A Survey
3) 道路和车道识别
Recent progress in road and lane detection: a survey
4)传感器融合
- Multisensor data fusion: A review of the state-of-the-art
- A Review of Data Fusion Techniques
- A COMPREHENSIVE REVIEW OF THE MULTI-SENSOR DATA FUSION ARCHITECTURES
- A Survey of Multisensor Fusion Techniques, Architectures and Methodologies
5)多目标跟踪
- DEEP LEARNING IN VIDEO MULTI-OBJECT TRACKING: A SURVEY
- Deep Learning for Visual Tracking: A Comprehensive Survey
- Multiple Object Tracking: A Literature Review
- Learning to Divide and Conquer for Online Multi-Target Tracking
- An Experimental Survey on Correlation Filter-based Tracking
4.预测
- A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving
- Human Motion Trajectory Prediction: A Survey
- Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
- A survey on motion prediction and risk assessment for intelligent vehicles
5. 规划控制
1)综述论文
- A Survey of Motion Planning and ControlTechniques for Self-driving Urban Vehicles
- A Review of Motion Planning Techniques for Automated Vehicles
2)百度EMplanner论文
Baidu Apollo EM Motion Planner
6. 推荐
A Survey of Autonomous Driving: Common Practices and Emerging Technologies(https://arxiv.org/abs/1906.05113)
非常推荐这篇综述论文,一是比较新,二是把其它的综述论文也对比了一下,表格如下,需要论文的自取
7. 下面是整理的无人驾驶相关网课,书籍以及论文,欢迎补充
王方浩:自动驾驶学习资料集合(https://zhuanlan.zhihu.com/p/58422485)
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