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Research questionHow can vision-only BEV perception remain accurate while meeting real-time constraints on production hardware?Vision-only BEV systems must convert camera views into useful spatial representations quickly enough for real-time operation without substantially reducing perception quality. Processing choices that improve accuracy can also make deployment less efficient or hardware-dependent.
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Latest papersRecent research connected to this question, newest first.Fast-BEV++: Fast by Algorithm, Deployable by DesignThe source studies Fast-BEV++ for vision-only BEV perception. It reports an Index-Gather-Reshape decomposition without custom kernels, results on nuScenes, depth-supervision gains, over 134 FPS, a 0.488 NDS score, and deployment on production-level platforms; these results support claims about this system rather than all BEV perception systems.research paper · Sep 3, 2026
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