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Sean Rafferty

2 accepted papers

2022

CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection

ECCV 2022poster

"Robust 3D object detection is critical for safe autonomous driving. Camera and radar sensors are synergistic as they capture complementary information and work well under different environmental conditions. Fusing camera and radar data is challenging, however, as each of the sensors lacks informati…

Cited by 61SourcePDFScholar
2020

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

CVPR 2020oral

Autonomous driving system development is critically dependent on the ability to replay complex and diverse traffic scenarios in simulation. In such scenarios, the ability to accurately simulate the vehicle sensors such as cameras, lidar or radar is hugely helpful. However, current sensor simulators…

Cited by 125PDFScholar