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Waymo Open Motion Dataset (WOMD)
The WOMD dataset is a large-scale interactive motion forecasting dataset for autonomous driving, which includes 2 million agents and 6 motion trajectories for 8 seconds in the... -
RoadMap: A Light-Weight Semantic Map for Visual Localization
A light-weight semantic map for visual localization in autonomous driving tasks. -
Woodscape dataset
Woodscape is a multi-task, multi-camera fisheye dataset for autonomous driving. -
SemanticKITTI: A dataset for semantic scene understanding of lidar sequences
SemanticKITTI: A dataset for semantic scene understanding of lidar sequences. -
TORNADO-Net: Multiview Total Variation Semantic Segmentation with Diamond Inc...
Semantic segmentation of point clouds is a key component of scene understanding for robotics and autonomous driving. In this paper, we introduce TORNADO-Net - a neural network... -
DeepAccident
A motion and accident prediction benchmark for v2x autonomous driving -
Argoverse 2 challenge on 4D occupancy forecasting at the workshop on autonomo...
Argoverse 2 challenge on 4D occupancy forecasting at the workshop on autonomous driving -
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
Real-time semantic segmentation is playing a more important role in computer vision, due to the growing demand for mobile devices and autonomous driving. Therefore, it is very... -
Event-Based Visual Place Recognition with Ensembles of Temporal Windows
Event-based visual place recognition with ensembles of temporal windows. -
DET: A High-Resolution DVS Dataset for Lane Extraction
A high-resolution DVS dataset for lane extraction. -
DDD20: End-to-End Event Camera Driving Dataset
End-to-end event camera driving dataset: Fusing frames and events with deep learning for improved steering prediction. -
DDD17: End-to-End Davis Driving Dataset
End-to-end Davis driving dataset. -
ADD: A Large Scale Event-Based Detection Dataset for Automotive
A large scale event-based detection dataset for automotive. -
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
A new dataset that contains demanding illumination conditions and provides a rich set of sensory data for autonomous driving. -
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in...
Depth estimation, visual odometry, and bird’s-eye-view scene layout estimation present three critical tasks for driving scene perception, which is fundamental for motion... -
Semantic-KITTI
Semantic-KITTI dataset for 3D LiDAR point cloud semantic segmentation