Peter Pinggera

Orcid: 0000-0003-4478-0398

According to our database1, Peter Pinggera authored at least 13 papers between 2012 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Stereoscopic methods for high-performance object detection and distance estimation : extending visual environment perception for intelligent vehicles
PhD thesis, 2018

Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Improved Semantic Stixels via Multimodal Sensor Fusion.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017
Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Lost and Found: detecting small road hazards for self-driving vehicles.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Semantically Guided Depth Upsampling.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

2015
High-performance long range obstacle detection using stereo vision.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Highly Accurate Depth Estimation for Objects at Large Distances.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012
On Cross-Spectral Stereo Matching using Dense Gradient Features.
Proceedings of the British Machine Vision Conference, 2012


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