Zhaotong Luo — accepted AI-conference papers

2024

SensorX2Vehicle: Online Sensors-to-Vehicle Rotation Calibration Methods in Road Scenarios

Guohang Yan, Zhaotong Luo, Zhuochun Liu, Yikang Li, Botian Shi, Kai Zhang

RA-L 2024

Properly-calibrated sensors are the prerequisite for a dependable autonomous driving system. Besides the extrinsic calibration between the sensors, the extrinsic between the sensor and the vehicle is also important, especially the rotation. Most of the existing sensor-to-vehicle calibration approach

Cited by 10 Source ↗Scholar ↗

2024

Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything Model

Zhaotong Luo, Guohang Yan, Xinyu Cai, Botian Shi

ICRA 2024poster

Extrinsic calibration for LiDAR and camera is an essential prerequisite for sensor fusion. Recently, automatic and target-less extrinsic calibration has become the mainstream of academic research. However, geometric feature-based methods still have requirements on the scene. Deep learning methods, w…

Cited by 9 Source ↗code ↗Scholar ↗