Jacob Lambert

Orcid: 0000-0003-0392-9635

Affiliations:
  • Nagoya University, Graduate School of Informatics, Japan
  • University of Toronto, Institute for Aerospace Studies, ON, Canada


According to our database1, Jacob Lambert authored at least 13 papers between 2015 and 2022.

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Timeline

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Bibliography

2022
Single-Shot Intrinsic Calibration for Autonomous Driving Applications.
Sensors, 2022

2021
Development of a 3D LiDAR Database and Knowledge-base for Improving Autonomous Driving Perception.
PhD thesis, 2021

Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020
Characterization of Multiple 3D LiDARs for Localization and Mapping using Normal Distributions Transform.
CoRR, 2020

A Survey of Autonomous Driving: Common Practices and Emerging Technologies.
IEEE Access, 2020

Performance Analysis of 10 Models of 3D LiDARs for Automated Driving.
IEEE Access, 2020

LIBRE: The Multiple 3D LiDAR Dataset.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Optimizing Learned Object Detection on Point Clouds from 3D Lidars Through Range and Sparsity Information.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Tsukuba Challenge 2017 Dynamic Object Tracks Dataset for Pedestrian Behavior Analysis.
J. Robotics Mechatronics, 2018

End-to-End Autonomous Mobile Robot Navigation with Model-Based System Support.
J. Robotics Mechatronics, 2018

2016
Entropy-based sim(3) calibration of 2D lidars to egomotion sensors.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

2015
The Battle for Filter Supremacy: A Comparative Study of the Multi-State Constraint Kalman Filter and the Sliding Window Filter.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015


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