[HTML][HTML] Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …
industry and offer new possibilities for future transportation with higher efficiency and …
[HTML][HTML] Towards deep radar perception for autonomous driving: Datasets, methods, and challenges
With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …
The next generation of 4D radar can achieve imaging capability in the form of high …
An automated driving systems data acquisition and analytics platform
In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
Argoverse 2: Next generation datasets for self-driving perception and forecasting
We introduce Argoverse 2 (AV2)-a collection of three datasets for perception and forecasting
research in the self-driving domain. The annotated Sensor Dataset contains 1,000 …
research in the self-driving domain. The annotated Sensor Dataset contains 1,000 …
ACDC: The adverse conditions dataset with correspondences for semantic driving scene understanding
Level 5 autonomy for self-driving cars requires a robust visual perception system that can
parse input images under any visual condition. However, existing semantic segmentation …
parse input images under any visual condition. However, existing semantic segmentation …
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 …
SHIFT: a synthetic driving dataset for continuous multi-task domain adaptation
Adapting to a continuously evolving environment is a safety-critical challenge inevitably
faced by all autonomous-driving systems. Existing image-and video-based driving datasets …
faced by all autonomous-driving systems. Existing image-and video-based driving datasets …
V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving
Vehicle-to-everything (V2X) communication techniques enable the collaboration between
vehicles and many other entities in the neighboring environment, which could fundamentally …
vehicles and many other entities in the neighboring environment, which could fundamentally …
Lidar snowfall simulation for robust 3d object detection
Abstract 3D object detection is a central task for applications such as autonomous driving, in
which the system needs to localize and classify surrounding traffic agents, even in the …
which the system needs to localize and classify surrounding traffic agents, even in the …
Fog simulation on real LiDAR point clouds for 3D object detection in adverse weather
This work addresses the challenging task of LiDAR-based 3D object detection in foggy
weather. Collecting and annotating data in such a scenario is very time, labor and cost …
weather. Collecting and annotating data in such a scenario is very time, labor and cost …