An iterative framework that couples LiDAR scene flow estimation with static and dynamic point cloud segmentation reports improved localization and obstacle avoidance in simulated traffic.
On combining visual slam and dense scene flow to increase the robustness of localization and mapping in dynamic environments
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SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios
An iterative framework that couples LiDAR scene flow estimation with static and dynamic point cloud segmentation reports improved localization and obstacle avoidance in simulated traffic.