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 1 | 
 2 | # [KAIST Multi-spectral Recognition Dataset in day and night](https://sites.google.com/site/ykchoicv/multispectral_ijrr)
 3 | 
 4 | This paper presents all-day dataset of paired a multi-spectral 2d vision (RGB-Thermal and RGB stereo) and 3d lidar (Velodyne 32E) data collected in campus and urban environments. Over all days, we successfully captured 50km sequences of synchronized multiple sensors at 25Hz using a fully aligned visible and thermal device, high resolution stereo visible cameras, and high accuracy GPS/IMU inertial navigation system. Therefore, this dataset contains various illumination conditions (day, night, sunset, and sunrise) of multimodal data, which are of particular interest in autonomous driving-assistance tasks such as localization (place recognition, 6D SLAM), moving object detection (pedestrian or car) and scene understanding (drivable region). In this paper, we provide the instruction of our dataset, including a recoding platform, the data format and the software for MATLAB and C++, demonstrating how to load and use the dataset.
 5 | 
 6 | ## Draft Paper
 7 | + [Draft]
 8 | 
 9 | ## Related Papers (using this dataset)
10 | + [Report] Multispectral Transfer Network: the shining in the night
11 | + [Report] A New Perspective on Thermal Imaging Enhancement using Convolution Neural Network
12 | + [IROS2016] Thermal Image Enhancement using Convolution Neural Network
13 | + [IV2016] Thermal-Infrared based Drivable Region Detection
14 | + [URAI2015] Geometrical Calibration of Multispectral Calibration
15 | + [URAI2015] Low-cost Synchronization for Multispectral Cameras
16 | + [CVPR2015] Multispectral Pedestrian Detection: Benchmark Dataset and Baseline
17 | + [CVPRW2015] All-Day Visual Place Recognition: Benchmark Dataset and Baseline
18 | 
19 | 
20 | ## Data & software download
21 | + [Thumbnail data](https://sites.google.com/site/ykchoicv/multispectral_ijrr_thumbnail)
22 | + [Raw data]
23 | + [Rectified data]
24 | + [Devlopment kits]
25 | + [Annotation kits]
26 | 
27 | 
28 | ## Supplementary
29 | + [View/Download](https://docs.google.com/presentation/d/12VXeXS4C2ZKze4gOcr_ZRuvg5Y-_huch9f15xc121NA/pub?start=false&loop=false&delayms=3000&slide=id.p4)
30 | 
31 | 
32 | ## Contact
33 | Please contact [Yukyung Choi](mailto:ykchoi@rcv.kaist.ac.kr) with questions and comments.
34 | 
35 | 
36 | ## Website Log
37 | 01.30.2016: The "KAIST Multi-spectral Recognition Dataset in day and night" webpages beta test (not public open)
38 | 
39 | 
40 | 


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