Rcooper: A real-world large-scale dataset for roadside cooperative perception
The value of roadside perception which could extend the boundaries of autonomous driving
and traffic management has gradually become more prominent and acknowledged in recent …
and traffic management has gradually become more prominent and acknowledged in recent …
A survey on datasets for the decision making of autonomous vehicles
Autonomous vehicles (AVs) are expected to reshape future transportation systems, and
decision making is one of the critical modules toward high-level automated driving. To …
decision making is one of the critical modules toward high-level automated driving. To …
Infradet3d: Multi-modal 3d object detection based on roadside infrastructure camera and lidar sensors
Current multi-modal object detection approaches focus on the vehicle domain and are
limited in the perception range and the processing capabilities. Roadside sensor units …
limited in the perception range and the processing capabilities. Roadside sensor units …
A survey on autonomous driving datasets: Data statistic, annotation, and outlook
Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …
advances in hardware and deep learning methods. High-quality datasets are fundamental …
A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook
Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving
N Karnchanachari, D Geromichalos, KS Tan… - arXiv preprint arXiv …, 2024 - arxiv.org
Machine Learning (ML) has replaced traditional handcrafted methods for perception and
prediction in autonomous vehicles. Yet for the equally important planning task, the adoption …
prediction in autonomous vehicles. Yet for the equally important planning task, the adoption …
A9 intersection dataset: All you need for urban 3d camera-lidar roadside perception
Intelligent Transportation Systems (ITS) allow a drastic expansion of the visibility range and
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …
Tumtraf intersection dataset: All you need for urban 3d camera-lidar roadside perception
Intelligent Transportation Systems (ITS) allow a drastic expansion of the visibility range and
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …
Impact, attention, influence: Early assessment of autonomous driving datasets
D Bogdoll, J Hendl, F Schreyer… - … on Control and …, 2023 - ieeexplore.ieee.org
Autonomous Driving (AD), the area of robotics with the greatest potential impact on society,
has gained a lot of momentum in the last decade. As a result of this, the number of datasets …
has gained a lot of momentum in the last decade. As a result of this, the number of datasets …
Automatic traffic scenario conversion from OpenSCENARIO to CommonRoad
Scenarios are a crucial element for developing, testing, and verifying autonomous driving
systems. However, open-source scenarios are often formulated using different …
systems. However, open-source scenarios are often formulated using different …