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Alireza Asvadi
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2020 – today
- 2023
- [j4]Gledson Melotti
, Weihao Lu
Probabilistic Approach for Road-Users Detection. IEEE Trans. Intell. Transp. Syst. 24(9): 9253-9267 (2023) - 2022
- [c14]Alireza Asvadi, Andrei Mitriakov, Christophe Lohr
Digital Twin Driven Smart Home: A Feasibility Study. ICOST 2022: 18-29 - 2021
- [i3]Alireza Asvadi, Guillaume Dardenne, Jocelyne Troccaz, Valérie Burdin:
Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur. CoRR abs/2107.03292 (2021) - [i2]Gledson Melotti, W. Lu, Dezong Zhao, Alireza Asvadi, Nuno Gonçalves, Cristiano Premebida:
Probabilistic Approach for Road-Users Detection. CoRR abs/2112.01360 (2021) - 2020
- [j3]Alireza Emami
Distributed simultaneous estimation of states and unknown inputs. Syst. Control. Lett. 138: 104660 (2020)
2010 – 2019
- 2019
- [c13]Joel Pereira, Cristiano Premebida
Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios. IV 2019: 14-19 - 2018
- [j2]Alireza Asvadi
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data. Pattern Recognit. Lett. 115: 20-29 (2018) - [c12]Gledson Melotti
CNN-LIDAR pedestrian classification: combining range and reflectance data. ICVES 2018: 1-6 - [c11]Cristiano Premebida, Pedro Serra, Alireza Asvadi, Alberto Valejo, Ricardo Fonseca, Rui Costa, Lara Moura, Conceição Magalhães:
AUTOCITS Pilot in Lisbon - Perspectives, Challenges and Approaches. VEHITS 2018: 488-494 - [c10]Cristiano Premebida, Pedro Serra, Alireza Asvadi, Alberto Valejo, Lara Moura:
Cooperative ITS Challenges: AUTOCITS Pilot in Lisbon. VTC Spring 2018: 1-5 - 2017
- [c9]Alireza Asvadi
DepthCN: Vehicle detection using 3D-LIDAR and ConvNet. ITSC 2017: 1-6 - [c8]João Paulo
Short-range gait pattern analysis for potential applications on assistive robotics. RO-MAN 2017: 107-112 - [c7]Alireza Asvadi
Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data. ROBOT (2) 2017: 475-486 - 2016
- [j1]Alireza Asvadi
3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes. Robotics Auton. Syst. 83: 299-311 (2016) - [c6]Pedro Girão, Alireza Asvadi
3D object tracking in driving environment: A short review and a benchmark dataset. ITSC 2016: 7-12 - [c5]Alireza Asvadi
3D object tracking using RGB and LIDAR data. ITSC 2016: 1255-1260 - [c4]Cristiano Premebida
High-resolution LIDAR-based depth mapping using bilateral filter. ITSC 2016: 2469-2474 - [i1]Cristiano Premebida, Luis Garrote, Alireza Asvadi, A. Pedro Ribeiro, Urbano Nunes:
High-resolution LIDAR-based Depth Mapping using Bilateral Filter. CoRR abs/1606.05614 (2016) - 2015
- [c3]Ana Marta Amaral de Carvalho, Alireza Asvadi, Carlos Carona, Ana C. Lopes, Urbano Nunes:
Mobility, Accessibility and Safety of People with Cerebral Palsy. HEALTHINF 2015: 268-275 - [c2]Alireza Asvadi
Detection and Tracking of Moving Objects Using 2.5D Motion Grids. ITSC 2015: 788-793 - [c1]Alireza Asvadi
Two-Stage Static/Dynamic Environment Modeling Using Voxel Representation. ROBOT (1) 2015: 465-476
Coauthor Index
aka: Urbano José C. Nunes
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