Evolutionary algorithmic brain: decoding ‘radar-vision fusion’ lightweight end-to-end solution

Company: Shanghai Geometrical Perception and Learning

The Algorithm Brain That Evolves: Decoding the Lightweight End-to-End Plan of ‘LiDAR-Vision Fusion’ The Algorithm Brain That Evolves: Decoding the Lightweight End-to-End Plan of ‘LiDAR-Vision Fusion’ Continuously Evolving Shanghai Geometrical Perception and Learning August 19, 2025, 08:03 Shanghai. The independently developed ‘Dual Net Collaborative’ end-to-end algorithm system by Shanghai Geometrical Perception and Learning effectively reduces the dependency on large computational power within the end-to-end framework, safeguarding the baseline of assisted driving safety with innovative safety strategies. In the wave of rapid evolution of intelligent automobiles, end-to-end approaches have been recognized as the combination-assisted driving technology paradigm within the industry. This full-chain optimization framework from perception to vehicle control, with its powerful scene generalization and efficient iteration capabilities driven by data, is continuously driving assisted driving

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