Dataset Download
We provide several types of sequences for evaluating visual odometry, global place recognition, and map-based re-localization tracking algorithms:
- Office Loop : A loop around an industrial area of the city.
- Highway : A loop on the A9 highway in the north part of Munich.
- Neighborhood : Traversal through a regular neighborhood at the outskirts of the city covering detached houses with gardens and trees in the street.
- Business Campus : Several loops around a campus in a business area around the city.
- Countryside : Rural area around agricultural fields which exhibits very homogeneous and repetitive structures. The scene shows heavy vegetation.
- City Loop : A large-scale loop at a ring road within the city of Munich including a tunnel.
- Old Town : Loop around the urban city center with tall buildings, much traffic, and dynamic objects.
- Maximilianeum : The Maximilianeum is a famous palatial building in Munich which is located at the eastern end of a royal avenue with paving stones and a tram route.
- Parking Garage : A multi-level (three levels) parking garage to benchmark combined indoor/outdoor environments.
All sequences have been processed to have:
- consistent timestamps for camera, IMU, and reference poses
- raw RTK-GNSS measurements
- distorted/undistorted stereo images
Office Loop
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
office_loop_1_train | spring,sunny,afternoon | zip (19MB) | zip (49MB) | zip (1.1MB) | zip (4.5GB) | zip (4.2GB) | play (5x) |
office_loop_2_train | spring,sunny,afternoon | zip (16MB) | zip (46MB) | zip (905KB) | zip (3.8GB) | zip (3.6GB) | play (5x) |
office_loop_3_train | spring,sunny,morning | zip (19MB) | zip (65MB) | zip (1.1MB) | zip (4.6GB) | zip (4.3GB) | play (5x) |
office_loop_4_train | summer,sunny,morning | zip (18MB) | zip (75MB) | zip (1.1MB) | zip (4.5GB) | zip (4.2GB) | play (5x) |
office_loop_5_train | winter,cloudy/snowy,afternoon | zip (18MB) | zip (63MB) | zip (981KB) | zip (4.1GB) | zip (3.8GB) | play (5x) |
office_loop_6_train | winter,sunny,afternoon | zip (18MB) | zip (63MB) | zip (1005KB) | zip (4.5GB) | zip (4.2GB) | play (5x) |
office_loop_2_test | spring,cloudy/sunny,afternoon | zip (16MB) | zip (3.8GB) | zip (3.6GB) | play (5x) | ||
office_loop_3_test | spring,cloudy,evening | zip (16MB) | zip (3.5GB) | zip (3.2GB) | play (5x) |
Highway
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
highway_1_test | fall,sunny,morning | zip (13MB) | zip (2.7GB) | zip (2.5GB) | play (5x) | ||
highway_2_test | winter,sunny,afternoon | zip (12MB) | zip (2.5GB) | zip (2.2GB) | play (5x) |
Neighborhood
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
neighborhood_1_train | spring,cloudy,afternoon | zip (14MB) | zip (41MB) | zip (761KB) | zip (3.3GB) | zip (3.2GB) | play (5x) |
neighborhood_2_train | fall,cloudy,afternoon | zip (13MB) | zip (46MB) | zip (710KB) | zip (2.9GB) | zip (2.7GB) | play (5x) |
neighborhood_3_train | fall,rainy,afternoon | zip (12MB) | zip (42MB) | zip (672KB) | zip (2.7GB) | zip (2.5GB) | play (5x) |
neighborhood_4_train | winter,cloudy,morning | zip (13MB) | zip (37MB) | zip (684KB) | zip (2.7GB) | zip (2.5GB) | play (5x) |
neighborhood_5_train | winter,sunny,afternoon | zip (12MB) | zip (40MB) | zip (649KB) | zip (2.8GB) | zip (2.7GB) | play (5x) |
neighborhood_6_train | spring,cloudy,evening | zip (15MB) | zip (44MB) | zip (807KB) | zip (3.3GB) | zip (3.1GB) | play (5x) |
neighborhood_7_train | spring,cloudy,evening | zip (14MB) | zip (44MB) | zip (753KB) | zip (3.1GB) | zip (2.9GB) | play (5x) |
neighborhood_2_test | spring,cloudy,evening | zip (13MB) | zip (2.9GB) | zip (2.6GB) | play (5x) |
Business Campus
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
business_campus_1_train | fall,sunny,morning | zip (20MB) | zip (38MB) | zip (759KB) | zip (5.1GB) | zip (4.9GB) | play (5x) |
business_campus_2_train | winter,cloudy/snowy,afternoon | zip (16MB) | zip (56MB) | zip (855KB) | zip (3.3GB) | zip (3.1GB) | play (5x) |
business_campus_3_train | winter,sunny,afternoon | zip (16MB) | zip (60MB) | zip (895KB) | zip (3.6GB) | zip (3.4GB) | play (5x) |
business_campus_1_test | winter,cloudy/snowy,afternoon | zip (16MB) | zip (3.6GB) | zip (3.3GB) | play (5x) |
Countryside
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
countryside_1_train | spring,sunny,morning | zip (20MB) | zip (92MB) | zip (1.2MB) | zip (4.2GB) | zip (3.7GB) | play (5x) |
countryside_2_train | summer,sunny,morning | zip (22MB) | zip (110MB) | zip (1.3MB) | zip (5.1GB) | zip (4.6GB) | play (5x) |
countryside_3_train | fall,sunny,morning | zip (19MB) | zip (85MB) | zip (1.1MB) | zip (4.1GB) | zip (3.7GB) | play (5x) |
countryside_4_train | winter,cloudy/snowy,afternoon | zip (19MB) | zip (92MB) | zip (1.1MB) | zip (4.1GB) | zip (3.6GB) | play (5x) |
countryside_2_test | winter,cloudy/snowy,afternoon | zip (18MB) | zip (3.4GB) | zip (3.0GB) | play (5x) |
City Loop
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
city_loop_1_train | winter,rainy,morning | zip (36MB) | zip (87MB) | zip (2.0MB) | zip (8.0GB) | zip (7.2GB) | play (5x) |
city_loop_2_train | winter,snowy/sunny,afternoon | zip (32MB) | zip (126MB) | zip (1.9MB) | zip (6.9GB) | zip (6.4GB) | play (5x) |
city_loop_3_train | winter,sunny,morning | zip (34MB) | zip (147MB) | zip (2.0MB) | zip (8.4GB) | zip (7.8GB) | play (5x) |
city_loop_2_test | winter,sunny,morning | zip (35MB) | zip (6.4GB) | zip (6.0GB) | play (5x) |
Old Town
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
old_town_1_train | fall,cloudy,morning | zip (32MB) | zip (78MB) | zip (1.9MB) | zip (8.1GB) | zip (7.7GB) | play (5x) |
old_town_2_train | winter,cloudy/snowy/sunny,morning | zip (29MB) | zip (75MB) | zip (1.6MB) | zip (5.9GB) | zip (5.5GB) | play (5x) |
old_town_3_train | winter,sunny,afternoon | zip (32MB) | zip (80MB) | zip (1.8MB) | zip (8.6GB) | zip (8.3GB) | play (5x) |
old_town_4_train | spring,cloudy,night | zip (28MB) | zip (43MB) | zip (1.6MB) | zip (3.3GB) | zip (3.1GB) | play (5x) |
old_town_2_test | spring,cloudy,evening | zip (27MB) | zip (6.8GB) | zip (6.5GB) | play (5x) | ||
old_town_3_test | spring,cloudy,night | zip (28MB) | zip (3.4GB) | zip (3.2GB) | play (5x) |
Maximilianeum
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
maximilianeum_1_test | winter,sunny,afternoon | zip (18MB) | zip (4.5GB) | zip (4.4GB) | play (5x) | ||
maximilianeum_2_test | spring,cloudy,night | zip (18MB) | zip (2.0GB) | zip (1.9GB) | play (5x) |
Parking Garage
Sequence name | Tags | IMU | Point clouds | Reference poses | Stereo images (distorted) | Stereo images (undistorted) | Preview Video |
parking_garage_1_train | winter,cloudy,afternoon | zip (8.8MB) | zip (29MB) | zip (542KB) | zip (1.8GB) | zip (1.7GB) | play (5x) |
parking_garage_2_train | winter,sunny,afternoon | zip (6.6MB) | zip (25MB) | zip (395KB) | zip (1.4GB) | zip (1.3GB) | play (5x) |
parking_garage_3_train | spring,cloudy,evening | zip (6.1MB) | zip (19MB) | zip (371KB) | zip (1.3GB) | zip (1.2GB) | play (5x) |
parking_garage_1_test | summer,sunny,morning | zip (5.2MB) | zip (1.2GB) | zip (1.1GB) | play (5x) |
Calibration
The calibration folder contains intrinsics and extrinsics of our sensors.
calibration/calib_0.txt
Intrinsic parameters of the left camera. Camera model, fx, fy, cx, cy, distortion coefficients.
calibration/calib_1.txt
Intrinsic parameters of the right camera. Camera model, fx, fy, cx, cy, distortion coefficients.
calibration/calib_stereo.txt
A 4x4 matrix denoting the rigid transformation from the right to the left camera.
calibration/undistorted_calib_0.txt
Intrinsic parameters of the left camera. Camera model, fx, fy, cx, cy, distortion coefficients.
calibration/undistorted_calib_1.txt
Intrinsic parameters of the right camera. Camera model, fx, fy, cx, cy, distortion coefficients.
calibration/undistorted_calib_stereo.txt
A 4x4 matrix denoting the rigid transformation from the right to the left camera.
calibration/camchain.yaml
Intrinsics and extrinsics for both cameras together in .yaml format.
Download calibration: calibration.zip (3KB)
Calibration Sequences
We provide calibration sequences for camera and IMU calibration.
MD5 Checksums
Map Overlay / Point Cloud Preview
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