Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art on ShortScience.org

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Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
Janai, Joel and Güney, Fatma and Behl, Aseem and Geiger, Andreas
arXiv e-Print archive - 2017 via Local Bibsonomy
Keywords: dblp

Summaries/Notes 1

[link] Summary by Martin Thoma 7 years ago

## Problems

* **Computer Vision**:
  * Detection: Given a 2D image, where are cars, pedestrians, traffic signs?
  * Depth estimation: Given a 2D image, estimate the depth
* **Planning**: Where do I want to go?
* **Control**: How should I steer?

## Datasets

* KITTI: Street segmentation (Computer Vision)
* ISPRS
* MOT
* Cityscapes


## What I missed

* GTSRB: The German Traffic Sign Recognition Benchmark dataset
* GTSDB: The German Traffic Sign Detection Benchmark

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