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Stereo R-CNN based 3D Object Detection for Autonomous Driving

解读：[知乎|@heryms 文章：Stereo 3D Object Detection](https://zhuanlan.zhihu.com/p/58077936)

Stereo R-CNN based 3D Object Detection for Autonomous Driving

代码已开源：[HKUST-Aerial-Robotics/Stereo-RCNN](https://github.com/HKUST-Aerial-Robotics/Stereo-RCNN)

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

代码：[mileyan/pseudo_lidar](https://github.com/mileyan/pseudo_lidar)，暂未公布代码项目链接：[mileyan.github.io/pseudo_lidar/](https://mileyan.github.io/pseudo_lidar/)

In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images

代码：[orsic/swiftnet](https://github.com/orsic/swiftnet)

Neural network vehicle models for high-performance automated driving

官方新闻：https://news.stanford.edu/2019/03/27/autonomous-driving-unknown/