NCA-GENM Exam Dumps | A self-driving car uses multimodal data (camera images, LiDAR point clouds, radar data, and GPS information)

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Question 70/192

A self-driving car uses multimodal data (camera images, LiDAR point clouds, radar data, and GPS information) to navigate. The LiDAR sensor occasionally fails, resulting in missing point cloud dat a. How should the system be designed to handle this sensor failure gracefully and maintain safe navigation?

A. Immediately stop the car until the LiDAR sensor is fixed.

B. Rely solely on the camera images and ignore the missing LiDAR data.

C. Use a sensor fusion technique that prioritizes the available modalities (camera, radar, GPS) and estimates the missing LiDAR data based on these modalities.

D. Switch to a pre-programmed route that does not require LiDAR data.

E. Employ a Kalman filter to predict the LiDAR point cloud based on the previous sensor readings and the car's motion model.

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