Fast Detection of Moving Traffic Participants in LiDAR Point Clouds by using Particles augmented with Free Space Information
Author:
Affiliation:
1. Institute for Autonomous Systems Technology (TAS), Universität der Bundeswehr München,Neubiberg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982239.pdf?arnumber=9982239
Reference20 articles.
1. Grid-Based Object Tracking
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5. Scalability in Perception for Au-tonomous Driving: Waymo Open Dataset;sun;Proc IEEE Conf Comput Vision and Pattern Recognition (CVPR),2020
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2. Detection of Moving Objects Based on Efficient Particle Tracking in 1.5D LiDAR Range Images;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
3. Using the Transferable Belief Model for Object Classification in LiDAR Data With Geometry, Motion and Context Features;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04
4. YOLOPoint: Joint Keypoint and Object Detection;Advanced Concepts for Intelligent Vision Systems;2023
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