Home Car NVIDIA Analysis Wins Autonomous Driving Problem, Innovation Award at CVPR

NVIDIA Analysis Wins Autonomous Driving Problem, Innovation Award at CVPR

NVIDIA Analysis Wins Autonomous Driving Problem, Innovation Award at CVPR


NVIDIA can be showcased subsequent week because the winner of the fiercely contested 3D Occupancy Prediction Problem for autonomous driving improvement on the Laptop Imaginative and prescient and Sample Recognition Convention (CVPR), in Vancouver, Canada.

The competitors had greater than 400 submissions from almost 150 groups throughout 10 areas.

3D occupancy prediction is the method of forecasting the standing of every voxel in a scene, that’s, every knowledge level on a 3D chicken’s-eye-view grid. Voxels could be recognized as free, occupied or unknown.

Essential to the event of secure and sturdy self-driving methods, 3D occupancy grid prediction gives data to autonomous automobile (AV) planning and management stacks utilizing state-of-the-art convolutional neural networks and transformer fashions, that are enabled by the NVIDIA DRIVE platform.

“NVIDIA’s profitable resolution options two vital AV developments,” mentioned Zhiding Yu, senior analysis scientist for studying and notion at NVIDIA. “It demonstrates a state-of-the-art mannequin design that yields glorious chicken’s-eye-view notion. It additionally reveals the effectiveness of visible basis fashions with as much as 1 billion parameters and large-scale pretraining in 3D occupancy prediction.”

Notion for autonomous driving has developed over the previous years from dealing with 2D duties, corresponding to detecting objects or free areas in pictures, to reasoning concerning the world in 3D with a number of enter pictures.

This now gives a versatile and exact fine-grained illustration of objects in complicated site visitors scenes, which is “important for attaining the security notion necessities for autonomous driving,” in line with Jose Alvarez, director of AV utilized analysis and distinguished scientist at NVIDIA.

Yu will current the NVIDIA Analysis staff’s award-winning work at CVPR’s Finish-to-Finish Autonomous Driving Workshop on Sunday, June 18, at 10:20 a.m. PT, in addition to on the Imaginative and prescient-Centric Autonomous Driving Workshop on Monday, June 19, at 4:00 p.m. PT.

Along with profitable first place within the problem, NVIDIA will obtain on the occasion an Innovation Award, recognizing its “recent insights into the event of view transformation modules,” with “considerably improved efficiency” in comparison with earlier approaches, in line with the CVPR workshop committee.

Learn NVIDIA’s technical report on the submission.

Safer Autos With 3D Occupancy Prediction

Whereas conventional 3D object detection — detecting and representing objects in a scene, usually utilizing 3D bounding containers — is a core job in AV notion, it has its limitations. For instance, it lacks expressiveness, that means the bounding containers may not characterize sufficient real-world data. It additionally requires defining taxonomies and floor truths for all doable objects, even ones not often seen in the actual world, corresponding to highway hazards that will have fallen off a truck.

In distinction, 3D occupancy prediction gives wealthy details about the world to a self-driving automobile’s planning stack, which is important for end-to-end autonomous driving.

Software program-defined automobiles could be constantly upgraded with new developments which can be confirmed and validated over time. State-of-the-art software program updates that evolve from analysis initiatives, corresponding to those acknowledged at CVPR, are enabling new options and safer driving capabilities.

The NVIDIA DRIVE platform presents a path to manufacturing for automakers, offering full-stack {hardware} and software program for secure and safe AV improvement, from the automobile to the information heart.

Extra on the CVPR Problem

The 3D Occupancy Prediction Problem at CVPR required individuals to develop algorithms that solely used digital camera enter throughout inference. Members might use open-source datasets and fashions, facilitating the exploration of data-driven algorithms and large-scale fashions. The organizers offered a baseline sandbox for the newest state-of-the-art 3D occupancy prediction algorithms in real-world eventualities.


NVIDIA is presenting almost 30 papers and displays at CVPR. Consultants who’ll talk about autonomous driving embrace:

View different talks on the agenda and study extra about NVIDIA at CVPR, which runs June 18-22.

Featured picture courtesy of OccNet and Occ3D.



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