Christoffer Petersson
Papers
2
Total Citations
21
H-Index
2
About
Christoffer Petersson is a leading researcher at the intersection of computer vision, autonomous driving, and neural rendering. His work focuses on solving critical challenges in perception for self-driving vehicles, particularly in simulation and wide-angle imaging. Petersson’s most cited paper, “SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving” (2025, 13 citations), introduces a groundbreaking neural rendering method that enables cost-effective, scalable simulation for autonomous robot testing—a vital contribution to safety validation. His second highly cited work, “HEAL-SWIN: A Vision Transformer on the Sphere” (2024, 8 citations), addresses the distortion problems inherent in processing high-resolution fisheye images from autonomous driving sensors. By adapting vision transformers to spherical representations, Petersson provides a more accurate and robust approach to wide-angle perception. These contributions demonstrate his impact in advancing both the fidelity of simulation environments and the reliability of real-world perception systems, making his research essential for students and engineers working toward safer autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2HEAL-SWIN: A Vision Transformer on the Sphere8 citations · 2024