Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The perception of the dynamic aspects of the environment is a highly relevant precondition for the realization of autonomous robot system acting in the real world. ,  propose a novel method for estimating dense rigid scene flow in 3D LiDAR scans.  formulate the problem as an energy minimization problem, where  assume local geometric constancy and incorporate regularization for smooth motion fields. Analyzing the dynamics at point level helps in inferring the fine-grained details of motion.  show results on multiple sequences of the KITTI odometry dataset, where  seamlessly estimate multiple motions pertaining to different dynamic objects. Furthermore,  test our approach on a dataset with pedestrians to show how our method adapts to a case with non-rigid motion. For comparison  use the ground truth from KITTI and show how our method outperforms different ICP-based methods.
['Ayush Dewan', 'Tim Caselitz', 'Gian Diego Tipaldi', 'Wolfram Burgard']
I am writing a research paper on a idea Rigid scene flow for 3D LiDAR scans
[{"from": "human", "value": "I am writing a research paper on a idea Rigid scene flow for 3D LiDAR scans"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The perception of the dynamic aspects of the environment is a highly relevant precondition for the realization of autonomous robot system acting in the real world. ,  propose a novel method for estimating dense rigid scene flow in 3D LiDAR scans.  formulate the problem as an energy minimization problem, where  assume local geometric constancy and incorporate regularization for smooth motion fields. Analyzing the dynamics at point level helps in inferring the fine-grained details of motion.  show results on multiple sequences of the KITTI odometry dataset, where  seamlessly estimate multiple motions pertaining to different dynamic objects. Furthermore,  test our approach on a dataset with pedestrians to show how our method adapts to a case with non-rigid motion. For comparison  use the ground truth from KITTI and show how our method outperforms different ICP-based methods."}]