168 datasets found

SemanticKITTI: A dataset for semantic scene understanding of lidar sequences.

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...

The dataset used in the paper is a large-scale dataset for autonomous driving and UAV racing, generated using the Sim4CV simulator.

The LAV dataset is used to evaluate the robustness of the proposed Penalty-based Imitation Learning with Cross Semantics Generation approach.

A motion and accident prediction benchmark for v2x autonomous driving

The Waymo Open Dataset and the nuScenes Dataset are used to evaluate the performance of the AFDetV2 model.

nuScenes: A multimodal dataset for autonomous driving.

Argoverse 2 challenge on 4D occupancy forecasting at the workshop on autonomous driving

A dataset for complex activity detection in autonomous driving and surgical robotics.

KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner.

A widely-adopted multi-modality benchmark for 3D object detection.

A large-scale benchmark for autonomous driving with 1,000 scenes.

The ROAD-R dataset contains autonomous driving scenarios with logical requirements.

A new dataset that contains demanding illumination conditions and provides a rich set of sensory data for autonomous driving.

Nuscenes is a large-scale autonomous driving dataset that provides high-resolution BEV semantic occupancy labels for roads and vehicles.

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...

Neural Radiance Fields (NeRFs) have emerged as promising tools for advancing autonomous driving (AD) research, offering scalable closed-loop simulation and data augmentation...

Novel view synthesis is a long-standing problem that revolves around rendering frames of scenes from novel camera viewpoints.

KITTI 3D object detection dataset, containing 7481 training images and 7518 testing images.

BEVFusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation