Software Product
Perception algorithm (embedded software)
Regulatory control software package (embedded software)
The production-level laser radar perception algorithm model covers comprehensive perception functionalities including obstacle detection, classification, panoramic segmentation (instance segmentation + semantic segmentation), drivable area segmentation, lane detection, traffic sign detection, and more.
The production-level laser radar perception algorithm model covers comprehensive perception functionalities including obstacle detection, classification, panoramic segmentation (instance segmentation + semantic segmentation), drivable area segmentation, lane detection, traffic sign detection, and more.
It is applicable to various self-driving scenarios including passenger cars and commercial vehicles, meeting the requirements of AUTOPILOT (Advanced Driver Assistance System) for weather recognition and automatic windshield wiper control.
It is applicable to various self-driving scenarios including passenger cars and commercial vehicles, meeting the requirements of AUTOPILOT (Advanced Driver Assistance System) for weather recognition and automatic windshield wiper control.
The self-developed FDNETtini_V1 version of the face de-identification model supports face detection and de-identification processing in extreme scenarios such as face tilting downwards, side angles approaching 90 degrees, fisheye edge distortion, and wearing masks. This model is specifically designed to handle these challenging conditions and ensure accurate and effective de-identification of faces.
描述
The self-developed FDNETtini_V1 version of the face de-identification model supports face detection and de-identification processing in extreme scenarios such as face tilting downwards, side angles approaching 90 degrees, fisheye edge distortion, and wearing masks. This model is specifically designed to handle these challenging conditions and ensure accurate and effective de-identification of faces.
描述
DMS
描述