ECCV workshop on
3D Perception for
Autonomous Driving

A workshop at the European Conference on Computer Vision (ECCV 2022), October 23-27, Tel Aviv.

This workshop will discuss the recent advances in 3D perception for autonomous driving and will include a challenge with a prize.

Autonomous driving relies heavily on computer vision to guarantee safe driving. It involves solving many important tasks such as object detection, scene segmentation, motion prediction, and ego-motion calculation – all are important for safe planning in the autonomous driving task. While many academic works have focused on using 2D images to perform perception, it is widely agreed that adding other modalities, such as 3D LiDAR data, can improve scene understanding and safety.

Using 3D information for autonomous driving has its unique challenges. A LiDAR reacts differently than a camera to different weather conditions, and there are challenges relating to its data annotation. The data is not represented on a grid as is the case with 2D images, therefore, a dedicated effort is required for processing the 3D data.

The Innoviz and NVIDIA workshop will discuss the challenges and advantages in performing 3D perception for autonomous driving, and the recent trends in the field. The various workshop lectures will be led by leading experts from the academy and industry.

The workshop includes a self-supervised learning for LiDAR challenge with data from Innoviz’s state-of-the-art InnovizTwo LiDAR sensor. 

Tentative Schedule

Time Title
9:00-9:10 Introduction
9:10-9:50 Luca Carlone
9:50-10:30 Marco Pavone
10:30-11:00 Coffee break
11:00-11:40 Cyrill Stachniss
11:40-12:00 Challenge awards ceremony
12:00-13:30 Lunch
13:30-14:10 Raquel Urtasun
14:10-14:30 Challenge talk 1
14:30-16:10 Deva Ramanan
16:10-16:40 Coffee Break
16:40-17:20 Kris Kitani
17:20-17:40 Challenge talk 2
17:40-18:20 Drago Anguelov

Workshop Format

The workshop will consist of a series of invited talks on recent developments in 3D perception for autonomous driving. There will be a challenge on 3D perception for autonomous driving. The objective of the challenge is to perform 3D perception using a limited amount of data. More details appear here.

Two submissions to the challenge will be selected to give a talk at the workshop and describe their solution. Awards will be given to the top submissions. Each participant in the challenge is required to submit a two-pages summary of their solution, which upon their approval, will be posted in the workshop website. Formal proceedings will not be published as part of the workshop.