add uzh drone racing dataset

README.md

@@ -2,17 +2,18 @@
 
 # Awesome SLAM Datasets [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
 
-![image](awesome_datasets_thumbnails.png)
+![image](figs/awesome_datasets_thumbnails.png)
 >Thumbnail Figures from Complex Urban, NCLT, Oxford robotcar, KiTTi, Cityscapes datasets.
 
 
 This repository is the collection of SLAM-related datasets. Among various SLAM datasets, we've selected the datasets provide pose and map information. This repository is linked to the [google site](https://sites.google.com/view/awesome-slam-datasets/). In this repository, the overall dataset chart is represented as simplified version. You can use full version of the chart (made by google spreadsheet) in the [project page](https://sites.google.com/view/awesome-slam-datasets/).
 
 We provide several category for each access of the data.
 
-## News !! (Update: 2019-05-20)
+## News !! (Update: 2019-05-28)
 - In ICRA 2019 (Montreal), workshop on ['Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR'](https://sites.google.com/view/icra-2019-workshop/home) will be held!. We  are pretty sure that there will be many 'new' and 'hot' datasets intruduced at the workshop.
 - We add [evaluation section](#evaluation) (Tools for trajectory and SLAM methods evaluation)
+- We add a new UAV dataset, [UZH-FPV Drone Racing Dataset](http://rpg.ifi.uzh.ch/uzh-fpv.html), which aims high speed state estimation using RGB, Event, and IMU.
 
 
 ## Category
@@ -50,6 +51,7 @@ We provide several category for each access of the data.
 
 | Shortname                                                                                                | Affiliation  | Year | Platform   | Publication | Environment           | GT-Pose | GT-Map | IMU | GPS | Labels | Lidar      | Cameras | RGBD | Event | Radar | Sonar | DVL | Other                   |
 |----------------------------------------------------------------------------------------------------------|--------------|------|------------|-------------|-----------------------|---------|--------|-----|-----|--------|------------|---------|------|-------|-------|-------|-----|-------------------------|
+| [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html)               | UZH, ETH       | 2019 | UAV       | ICRA  | Indoor, Urban                | O       |       | O   |     |        |            |  O     |     | O     |       |       |     |  |
 | [Collaborative SLAM Dataset (CSD)](https://github.com/torrvision/CollaborativeSLAMDataset)               | Oxford       | 2018 | Hand       | TVCG/ISMAR  | Indoor                | O       | O      | O   |     |        |            | O       | O    |       |       |       |     | Tango (Asus ZenFone AR)
 | [ADVIO Dataset](https://github.com/AaltoVision/ADVIO)               | Aalto U          | 2018 | Hand | ECCV                | Urban      | O | O | O |   |   |   | O |   |   |   |   |   | iPhone, Tango, Pixel                     |
 | [DeepIO Dataset](http://deepio.cs.ox.ac.uk/)                        | Oxford           | 2018 | Hand | Arxiv               | Indoor     | O |   | O |   |   |   |   |   |   |   |   |   |                                          |
@@ -120,6 +122,7 @@ _Evaluation methods for SLAM benchmarks_
 
 ### Odometry
 _Dataset for odometry Benchmark_
+- [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html)
 - [TUM-Visual-Inertial](https://vision.in.tum.de/data/datasets/visual-inertial-dataset)
 - [Visual-Inertial Canoe Dataset](https://databank.illinois.edu/datasets/IDB-9342111)
 - [Multi Vehicle Stereo Event Camera Dataset](https://docs.google.com/spreadsheets/d/1mudM7LxXv09ywuQGDp3t_RlIjIdwzg_ZaMu78agLmH4/edit#gid=0)
@@ -219,6 +222,7 @@ _Variation of mapping structures_
 
 ### Extreme Condition
 _Extreme environment, motions_
+- [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html)
 - [Underwater Caves SONAR and Vision Dataset](http://cirs.udg.edu/caves-dataset/): Underwater Environment
 - [Chilean Underground Mine Dataset](http://dataset.amtc.cl/#): Underground Environment
 - [CityScapes Dataset](https://www.cityscapes-dataset.com/): Foggy Scene
@@ -267,6 +271,7 @@ _Mobile Robots (Ex. Husky, Rover.. )_
 
 ### Unmanned Aerial Vehicle
 _Unmanned aerial robots include drone_
+- [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html)
 - [Zurich Urban Micro Aerial Vehicle Dataset](http://rpg.ifi.uzh.ch/zurichmavdataset.html)
 - [Event-Camera Dataset and Simulator](http://rpg.ifi.uzh.ch/davis_data.html)
 - [Solar-powered UAV Sensing and Mapping Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=fsr2015)
@@ -307,6 +312,7 @@ _Hand-held platform by human_
 ## Categorized by Environment
 ### Urban
 _City, campus, town, and infrastructures_
+- [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html)
 - [ADVIO Dataset](https://github.com/AaltoVision/ADVIO)
 - [Stereo Plenoptic Dataset](https://www.hs-karlsruhe.de/odometry-data/)
 - [KAIST Day/Night Dataset](https://sites.google.com/view/multispectral/home)
@@ -339,6 +345,7 @@ _City, campus, town, and infrastructures_
 
 ### Indoor
 _Indoor environment_
+- [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html)
 - [Collaborative SLAM Dataset (CSD)](https://github.com/torrvision/CollaborativeSLAMDataset)
 - [InteriorNet](https://interiornet.org/)
 - [TUM-Visual-Inertial](https://vision.in.tum.de/data/datasets/visual-inertial-dataset)