Post Title

Bird’s eye view visibility is a common pattern in self-driving vehicles, spatial AI systems, and robotics. By projecting different views through BEVPoolV3 into one grid, BEV-based pipelines provide visibility with a consistent representation of the surroundings. This feature eases reasoning about obstacles, other vehicles, lanes, and trajectories. A key feature within this is BEV pooling, which blends image features and scatter reduces them into BEV grid cells. While the concept is simple, BEV pooling causes latency in real-world adoption due to insufficient memory access, repeated reads, scatter-reduce behavior, and sensitivity to GPU cache. BEVPoolV3 addresses these issues through kernel-level optimization […]