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Found 8 papers, 2 papers with code
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry.
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection
The RGB complementary metal-oxidesemiconductor (CMOS) sensor works within the visible light spectrum.
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups
We then analyze the properties of the resulting point clouds and perform MODT for all emerging traffic participants.
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation
The use of infrastructure sensor technology for traffic detection has already been proven several times.
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess
The research project HDV-Mess aims at a currently missing, but very crucial component for addressing important challenges in the field of connected and automated driving on public roads.
Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD
With the Corridor for New Mobility Aachen - D\"usseldorf, an integrated development environment is created, incorporating existing test capabilities, to systematically test and validate automated vehicles in interaction with connected Intelligent Transport Systems Stations (ITS-Ss).
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications
The use of smart roadside infrastructure sensors is highly relevant for future applications of connected and automated vehicles.
Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility
Due to its modularity, the calculation model is suitable for diverse applications and outputs a distinctive evaluation of the underlying cost-benefit ratio of investigated setups.
