Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications
Author:
Affiliation:
1. RWTH Aachen University,Institute for Automotive Engineering,Aachen,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186719.pdf?arnumber=10186719
Reference22 articles.
1. Baai-vanjee roadside dataset: Towards the connected automated vehicle highway technologies in challenging environments of china;yongqiang,2021
2. Object Detection Based on Roadside LiDAR for Cooperative Driving Automation: A Review
3. A9-dataset: Multi-sensor infrastructure-based dataset for mobility research;creß;2022 IEEE Intelligent Vehicles Symposium (IV),2022
4. IPS300+: a Challenging multi-modal data sets for Intersection Perception System
5. CFNet: LiDAR-Camera Registration Using Calibration Flow Network
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