Transfer Learning in Earth Observation Data Analysis: A review

A Nowakowski, MP Del Rosso, P Zachar… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
The significant increase in the amount of satellite data in recent years along with the
increase in computing resources has opened up new possibilities for Earth Observation …

[HTML][HTML] Generalized LiDAR intensity normalization and its positive impact on geometric and learning-based lane marking detection

YT Cheng, YC Lin, A Habib - Remote Sensing, 2022 - mdpi.com
Light Detection and Ranging (LiDAR) data collected by mobile map** systems (MMS)
have been utilized to detect lane markings through intensity-based approaches. As LiDAR …

Leveraging LiDAR intensity to evaluate roadway pavement markings

JA Mahlberg, YT Cheng, DM Bullock, A Habib - Future transportation, 2021 - mdpi.com
The United States has over 8.8 million lane miles nationwide, which require regular
maintenance and evaluations of sign retroreflectivity, pavement markings, and other …

LiDAR perception and evaluation method for road traffic marking retroreflection

H He, A Xu, X Han, H Wang… - Transportation …, 2023 - journals.sagepub.com
To solve the problem of low efficiency in retroreflection maintenance of road traffic markings,
in this study a vehicle-mounted LiDAR-based perception and evaluation method of …

Lane Reconstruction for Self-Driving Vehicles on Dynamic Road Networks

Y Chuttur, R Kaudeerally… - … , Electronic and Computer …, 2023 - jtec.utem.edu.my
Lane detection is a crucial task that involves identifying lane lines and proper markings on
road structures. The field of lane detection has gained significant attention due to the …

LEVERAGING CONNECTED VEHICLE DATA FOR INFRASTRUCTURE PERFORMANCE EVALUATION AND MONITORING

JA Mahlberg - 2023 - hammer.purdue.edu
For decades, agencies have collected infrastructure condition assessment data using
dedicated equipment that require substantial capital investments and staff time to …