1 INTRODUCTION

1.1 Motivation for Panoptic Perception in Autonomous Driving

1.2 Objective and Organization

2 BACKGROUND

2.1 Hardware for Panoptic Perception

2.2 Panoptic Perception Tasks

2.3 Benchmark and Dataset

2.4 Evaluation Metrics

3 TECHNIQUES FOR PANOPTIC PERCEPTION

3.1 Overview of Current Techniques for Panoptic Perception

3.2 Image-based Network

3.3 Point Cloud-based Network

3.4 Fusion of Image and Point Cloud

4.1 Performance Analysis

4.2 Efficiency Analysis

5 CHALLENGES AND FUTURE DIRECTIONS

5.1 Discussion of Challenges and Limitations of Current Techniques

5.2 Proposed Solutions and Future Research Directions

6 CONCLUSION