Mahdi Javanmardi

Orcid: 0000-0001-6785-0139

According to our database1, Mahdi Javanmardi authored at least 14 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Pre-Estimating Self-Localization Error of NDT-Based Map-Matching From Map Only.
IEEE Trans. Intell. Transp. Syst., 2021

2019
Estimating Autonomous Vehicle Localization Error Using 2D Geographic Information.
ISPRS Int. J. Geo Inf., 2019

Evaluating the Capability of OpenStreetMap for Estimating Vehicle Localization Error.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

How Far Should Self-Driving Cars 'See'? Effect of Observation Range on Vehicle Self-Localization.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Road Scene Risk Perception for Intelligent Vehicles Using End-to-End Affordance Learning and Visual Reasoning.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Factors to Evaluate Capability of Map for Vehicle Localization.
IEEE Access, 2018

Evaluation of Digital Map Ability for Vehicle Self-Iocalization.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Adaptive Resolution Refinement of NDT Map Based on Localization Error Modeled by Map Factors.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Towards High-Definition 3D Urban Mapping: Road Feature-Based Registration of Mobile Mapping Systems and Aerial Imagery.
Remote. Sens., 2017

Autonomous vehicle self-localization based on multilayer 2D vector map and multi-channel LiDAR.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Automatic calibration of 3D mobile laser scanning using aerial surveillance data for precise urban mapping.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Autonomous vehicle self-localization based on probabilistic planar surface map and multi-channel LiDAR in urban area.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Precise mobile laser scanning for urban mapping utilizing 3D aerial surveillance data.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2015
3D building map reconstruction in dense urban areas by integrating airborne laser point cloud with 2D boundary map.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2015


  Loading...