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Marco Patander
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2010 – 2019
- 2019
- [c6]Giulio Bacchiani, Daniele Molinari, Marco Patander:
Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning. AAMAS 2019: 1547-1555 - [i1]Giulio Bacchiani
, Daniele Molinari, Marco Patander:
Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning. CoRR abs/1903.01365 (2019) - 2017
- [c5]Giulio Bacchiani
Parking slots detection on the equivalence sphere with a progressive probabilistic hough transform. ITSC 2017: 1-6 - 2016
- [c4]Marco Allodi, Alberto Broggi, Domenico Giaquinto, Marco Patander
Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle. Intelligent Vehicles Symposium 2016: 648-653 - [c3]Francesco Valenti, Francesca Ghidini, Marco Patander
A ground truth building approach for evaluation of grid based discretization techniques in automotive scenarios. Intelligent Vehicles Symposium 2016: 960-965 - 2014
- [j1]Dario Lodi Rizzini
Lessons Learned in a Ball Fetch-And-Carry Robotic Competition. J. Autom. Mob. Robotics Intell. Syst. 8(1): 82-90 (2014) - [c2]Nicola Bernini, Massimo Bertozzi
Real-time obstacle detection using stereo vision for autonomous ground vehicles: A survey. ITSC 2014: 873-878 - 2013
- [c1]Alberto Broggi
A full-3D voxel-based dynamic obstacle detection for urban scenario using stereo vision. ITSC 2013: 71-76
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last updated on 2024-04-25 05:55 CEST by the dblp team
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