Nio Usa, Inc.

Nio Technology (anhui) Co., Ltd.

Huazeng Deng

Veera Ganesh Yalla

Xu Chen

Ashwath Aithal

Ajaya H S Rao

Ruoyu Tan

Embodiments of the present disclosure are directed to a method for object detection. The method includes receiving sensor data indicative of one or more objects for each of a camera subsystem, a LiDAR subsystem, and an imaging RADAR subsystem. The sensor data is received simultaneously and within one frame for each of the subsystems. The method also includes extracting one or more feature representations of the objects from camera image data, LiDAR point cloud data and imaging RADAR point cloud data and generating image feature maps, LiDAR feature maps and imaging RADAR feature maps. The method further includes combining the image feature maps, the LiDAR feature maps and the imaging RADAR feature maps to generate merged feature maps and generating object classification, object position, object dimensions, object heading and object velocity from the merged feature maps.

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San Jose, CA, United States of America

Huazeng Deng