DAIR-V2X: The first real-world dataset for research on vehicle-to-everything autonomous driving. It comprises a total of 71,254 frames of image data and 71,254 frames of point cloud data. V2X-Seq: The first large-scale, real-world, and sequential V2X dataset, which includes data frames, trajectories, vector maps, and traffic lights captured ...

Apr 12, 2022 · To accelerate computer vision research and innovation for Vehicle-Infrastructure Cooperative Autonomous Driving (VICAD), we release DAIR-V2X Dataset, which is the first large-scale, multi-modality, multi-view dataset from real scenarios for VICAD.

DAIR-V2X is the first large-scale, multi-modality, multi-view dataset for Vehicle-Infrastructure Collaborative Autonomous Driving (VICAD), with 2D&3D object annotations. All data is captured...

Implant retention without infection is ideal and DAIR has been reported to have variable success rates depending on patient factors, duration of infection, infecting micro-organisms, choice of procedure, single or multiple debridement procedures, arthroscopic or open, antibiotic choice and duration of antibiotic use.

To accelerate computer vision research and innovation for Vehicle-Infrastructure Cooperative Autonomous Driving (VICAD), we release DAIR-V2X Dataset, which is the first large-scale, multi-modality, multi-view dataset from real scenarios for VICAD.

Apr 12, 2022 · To accelerate computer vision research and innovation for Vehicle-Infrastructure Cooperative Autonomous Driving (VICAD), we release DAIR-V2X Dataset, which is the first large-scale,...

Vair (/ vɛər /; from Latin varius "variegated"), originating as a processed form of squirrel fur, gave its name to a set of different patterns used in heraldry. Heraldic vair represents a kind of fur common in the Middle Ages, made from pieces of the greyish-blue backs of squirrels sewn together with pieces of the animals' white underbellies.

Jun 1, 2022 · DAIR-V2X [12] is the first large-scale, real-world dataset for V2I cooperative perception. DAIR-V2X is composed of three parts, i.e., DAIR-V2X-C, DAIR-V2X-I, and DAIR-V2X-V, where DAIR-V2X-C...

DAIR-V2X is a large-scale, multi-modality, multi-view dataset from real scenarios for VICAD. DAIR-V2X comprises 71254 LiDAR frames and 71254 Camera frames, and all frames are captured from real scenes with 3D annotations.

To visualize LiDAR or camera frames in DAIR-V2X, please refer to this. To evaluate your own VIC3D object detection model with our framework, please refer to this . To further learn and use our fusion modules, please refer to this .