A diversity of computer vision capabilities are all critical in building industry-level autonomous driving systems, ranging from 2D to 3D perception, prediction, planning, to scene simulation. This has inspired a surge of relevant research and publications in leading venues such as CVPR, ICCV and ECCV, growing at a fast pace with increasingly accurate and efficient new methods (e.g. BEV-based 3D detection, HDMapNet, NeRF) developed continuously. Much more than simple combination of individual independently developed methods, autonomous driving also requires synergistic integration of different functions as a whole. This however is far away from the current situation that researchers in the sub-fields of perception, planning and simulation make largely limited idea exchange and communication. This calls for a system-level perspective on the advancement of autonomous driving, e.g. to establish end-to-end realtime AI systems streamlining multiple sensors (camera, LiDAR, Radar) and all the necessary functions/tasks (e.g. object detection, lane detection, HD map construction, path planning) under a single umbrella. To achieve this accomplishment, we are still faced with fundamental challenges such as (1) out-of-date visual perception and path planning methods, (2) overly simple integration strategies, (3) lack of high-quality simulation environments. In this context, this workshop aims to provide a platform where researchers from different sub-fields can focus on exchanging the frontier ideas across boundaries, leading to holistic system-aware understanding and systematic research attempts in the future.


  • 1. 3D obejct detetion
  • 2. Traffic lane detection and HD map construction
  • 3. End-to-end perception and path planning
  • 4. Autonomous driving environment simulation

Specifically, with Topic 1 and Topic 2, we encourage the researchers to illustrate the frontier of visual perception for autopilot. Whilst the researchers working on Topic 3 could share their thinking in path planning from the end-to-end perception viewpoint. The Topic 4 investigates the training data issue involved in all the previous topics by real-world rendering and simulation. Other topics related to end-to-end driving system design are all welcome and valuable to discuss.



Paper submission will follow CVPR 2023 format. All papers will be reviewed with double blind policy. Sbumission is through CMT.

CMT Submission

Important Dates

Action Date
Paper submission deadline Feb 20th, 2023
Notification to authors Feb 27th, 2023
Camera ready deadline April 8th, 2023