Robo3d: Towards robust and reliable 3d perception against corruptions
The robustness of 3D perception systems under natural corruptions from environments and
sensors is pivotal for safety-critical applications. Existing large-scale 3D perception datasets …
sensors is pivotal for safety-critical applications. Existing large-scale 3D perception datasets …
Benchmarking robustness of 3d object detection to common corruptions
Abstract 3D object detection is an important task in autonomous driving to perceive the
surroundings. Despite the excellent performance, the existing 3D detectors lack the …
surroundings. Despite the excellent performance, the existing 3D detectors lack the …
Three pillars improving vision foundation model distillation for lidar
Self-supervised image backbones can be used to address complex 2D tasks (eg semantic
segmentation object discovery) very efficiently and with little or no downstream supervision …
segmentation object discovery) very efficiently and with little or no downstream supervision …
Robustness-aware 3d object detection in autonomous driving: A review and outlook
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …
accurately assessing the state of the surrounding environment, thereby enabling informed …
A Hybrid Fault Diagnosis Method for Autonomous Driving Sensing Systems Based on Information Complexity
T Jin, C Zhang, Y Zhang, M Yang, W Ding - Electronics, 2024 - mdpi.com
In the context of autonomous driving, sensing systems play a crucial role, and their accuracy
and reliability can significantly impact the overall safety of autonomous vehicles. Despite …
and reliability can significantly impact the overall safety of autonomous vehicles. Despite …
Efficient and Robust Object Detection against Multi-Type Corruption Using Complete Edge Based on Lightweight Parameter Isolation
Y Kim, J Shin - IEEE Transactions on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
The objective of robust object detection against multi-type corruption (MTC) is to improve
detection performance in various domains, including common risks in real-world …
detection performance in various domains, including common risks in real-world …
Improving robustness of lidar-camera fusion model against weather corruption from fusion strategy perspective
In recent years, LiDAR-camera fusion models have markedly advanced 3D object detection
tasks in autonomous driving. However, their robustness against common weather corruption …
tasks in autonomous driving. However, their robustness against common weather corruption …
Benchmarking 3d perception robustness to common corruptions and sensor failure
The robustness of the 3D perception system under common corruptions and sensor failure is
pivotal for safety-critical applications. Existing large-scale 3D perception datasets often …
pivotal for safety-critical applications. Existing large-scale 3D perception datasets often …
Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection
A Arsenos, V Karampinis… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
The main barrier to achieving fully autonomous flights lies in autonomous aircraft navigation.
Managing non-cooperative traffic presents the most important challenge in this problem. The …
Managing non-cooperative traffic presents the most important challenge in this problem. The …
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
A Arsenos, V Karampinis, E Petrongonas… - arXiv preprint arXiv …, 2024 - arxiv.org
The main barrier to achieving fully autonomous flights lies in autonomous aircraft navigation.
Managing non-cooperative traffic presents the most important challenge in this problem. The …
Managing non-cooperative traffic presents the most important challenge in this problem. The …