Two algorithms for vehicular obstacle detection in sparse pointcloud

Author:

Mentasti Simone1,Matteucci Matteo1,Arrigoni Stefano2,Cheli Federico2

Affiliation:

1. Politecnico di Milano,Department of Electronics, Information and Bioengineering (DEIB),Milano,Italy,20133

2. Politecnico di Milano,Department of Mechanical-Engineering,Milano,Italy,20156

Publisher

IEEE

Reference22 articles.

1. Improved techniques for grid mapping;grisetti;Robotics IEEE Transactions on,0

2. Using occupancy grids for mobile robot perception and navigation

3. OctoMap: An efficient probabilistic 3D mapping framework based on octrees;hornung;Autonomous Robots,2013

4. Robust environment perception based on occupancy grid maps for autonomous vehicle;suganuma;Proceedings of SICE Annual Conference 2010,0

5. Self-driving cars: A survey

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1. Obstacle Detection with Differences of Normals in Unorganized Point Clouds for Mobile Robotics;2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM);2023-10-10

2. Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving;IEEE Transactions on Intelligent Vehicles;2023-02

3. Contextual Challenges to Explainable Driving Automation: The Case of Machine Perception;Studies in Applied Philosophy, Epistemology and Rational Ethics;2023

4. Object tracking with low resolution Lidar and Radar fusion, a comparison;2022 AEIT International Annual Conference (AEIT);2022-10-03

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