26 datasets found

The Waymo Open dataset is a large-scale video dataset used for testing object-centric video models.

The A9-Intersection dataset is a real-world dataset made of two RSUs positioned at 7 meters height in an intersection in Garching, Germany. Each RSU has an Ouster OS1-64 LiDAR...

The V2X-Sim 2.0 dataset is a synthetic dataset made with CARLA, containing 100 sequences, each of which has 100 samples containing point clouds obtained by 1 RSU positioned at...

The KITTI benchmark dataset is used to evaluate the performance of the proposed method. The dataset contains large-scale outdoor sequences of images captured by a forward-facing...

The KITTI 3D Object Detection dataset is used for training and testing the proposed Shift R-CNN model.

The dataset used in the paper is a collection of images and corresponding affordances (pedestrian hazard, vehicle hazard, red traffic light, and relative heading angle) for...

KITTI-3D benchmark contains a train-ing set of 7481 images and a test set of 7518 images.

The KITTI-360 dataset is an extension of the KITTI dataset, containing 10 new sequences recorded in 2013, with a focus on 360-degree views.

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

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

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

The Waymo Open Dataset and the Waymo Open Motion Dataset are used in this paper.

The KITTI Object Detection Benchmark consists of 7,481 training images and 7,518 testing images, with 3D LiDAR point clouds and camera images.

A benchmark for stereo matching and depth estimation.

KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240.

Cross-LiDAR 3D detection dataset

Cross-LiDAR 3D detection dataset

A multi-modal dataset capturing self-driving scenes in various conditions, including different times of day and weather.

The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles.

The VoxelNet dataset is a large-scale dataset for 3D object detection, consisting of 3D point clouds and corresponding annotations.