Multi-sensor fusion for localization and mapping in urban is still a challenging problem. Urban scenes are characterized by numerous dynamic objects and frequent lighting variations, which adversely affect the performance of cameras and lidar systems. Furthermore, the presence of high-rise buildings poses a serious obstacle to the accuracy of GNSS. To address these challenges, M3DSS-Driving introduces a comprehensive dataset aimed at accelerating SLAM research in urban scenes. In addition to lidar and RGB cameras, this dataset incorporates four event cameras to enhance the collection of visual information. It includes sensor measurements from LiDAR, RGB cameras, event cameras, and IMUs, along with precise ground truth data obtained from the SPAN-CPT system. Unlike existing event camera-based driving datasets, M3DSS-Driving specifically emphasizes urban scenes, particularly those that are more challenging in nature.
Frequency: |
10Hz |
FOV: |
360°(Horizontal),-30°∼10°(Vertical) |
Beam: |
32 |
Distance: |
up to 80m |
Frequency: |
10Hz |
FOV: |
360°(Horizontal),-15°∼15°(Vertical) |
Beam: |
16 |
Distance: |
up to 100m |
Frequency: |
10Hz |
FOV: |
360°(Horizontal),-15°∼15°(Vertical) |
Beam: |
16 |
Distance: |
up to 150m |
Frequency: |
400Hz |
Accelerometer in-run Bias Instability: |
15μg |
Gyroscope in-run Bias Instability: |
18°/h |
Quantity: |
u-blox ZED-F9P(X2) |
     |
Frequency: |
u-blox ZED-F9P(1Hz,10Hz) |
EVK-M8T(x1) |
     |
EVK-M8T(1Hz) |
||
NovAtel Flexpak6(x1) |
     |
NovAtel Flexpak6(1Hz) |
Frequency: |
1Hz |
localization RMSE: |
5cm |
Characteristic: |
post-processing using inertial explorer software |
Quantity: |
X2 |
Frequency: |
20Fps |
Resolution: |
1920×1200 pixel |
FOV: |
96.8°(Horizontal),79.4°(Vertical) |
Inivation DAVIS346-color: |
Quantity: |
X2 |
     |
Inivation DVXplorer: |
Quantity: |
X2 |
Frequency: |
1000Hz |
     |
Frequency: |
1000Hz |
||
Resolution: |
346×260 pixel |
     |
Resolution: |
640×480 pixel |
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IMU: |
MPU6150, 6-axis |
     |
IMU: |
MPU6150, 6-axis |
title1 |
title2 |
title3 |
title4 |
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Calibration:rosbag |
Calibration:rosbag |
Calibration:rosbag |
Calibration:rosbag |
Urban_day_loop |
Urban_day_unloop |
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Data: rosbag |
Groud-Truth: txt |
Data: rosbag |
Groud-Truth: txt |
Urban_night_loop |
Urban_night_unloop |
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Data: rosbag |
Groud-Truth: rosbag |
Data: rosbag |
Groud-Truth: rosbag |
Sensors | Topics |
---|---|
Event cameras | /DAVIS346_left/events |
/DAVIS346_left/image | |
/DAVIS346_left/imu | |
/DAVIS346_right/events | |
/DAVIS346_right/image | |
/DAVIS346_right/imu | |
/DVXplorer_left/events | |
/DVXplorer_left/imu | |
/DVXplorer_right/events | |
/DVXplorer_right/imu | |
RGB cameras | /camera_left/image_raw |
/camera_right/image_raw | |
IMU | /imu/data |
Mechanical LiDARs | /left/lslidar_point_cloud |
/right/velodyne_points | |
/velodyne_points | |
Time synchronization | /ptp/trigger_time |