Fifo: Learning fog-invariant features for foggy scene segmentation
Robust visual recognition under adverse weather conditions is of great importance in real-
world applications. In this context, we propose a new method for learning semantic …
world applications. In this context, we propose a new method for learning semantic …
Multi-weather city: Adverse weather stacking for autonomous driving
Autonomous vehicles make use of sensors to perceive the world around them, with heavy
reliance on vision-based sensors such as RGB cameras. Unfortunately, since these sensors …
reliance on vision-based sensors such as RGB cameras. Unfortunately, since these sensors …
Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments
In scene understanding for autonomous vehicles (AVs), models trained on the available
datasets fail to generalize well to the complex, real-world scenarios with higher dynamics. In …
datasets fail to generalize well to the complex, real-world scenarios with higher dynamics. In …
Benchmarking the robustness of lidar semantic segmentation models
When using LiDAR semantic segmentation models for safety-critical applications such as
autonomous driving, it is essential to understand and improve their robustness with respect …
autonomous driving, it is essential to understand and improve their robustness with respect …
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
In an autonomous driving system, perception-identification of features and objects from the
environment-is crucial. In autonomous racing, high speeds and small margins demand rapid …
environment-is crucial. In autonomous racing, high speeds and small margins demand rapid …
Employing cross-domain modelings for robust object detection in dynamic environment of autonomous vehicles
Object detection (OD) in Advanced Driver Assistant Systems (ADAS) has been a
fundamental problem especially when complex unseen cross-domain adaptations occur in …
fundamental problem especially when complex unseen cross-domain adaptations occur in …
Worsening perception: Real-time degradation of autonomous vehicle perception performance for simulation of adverse weather conditions
Autonomous vehicles rely heavily upon their perception subsystems to see the environment
in which they operate. Unfortunately, the effect of variable weather conditions presents a …
in which they operate. Unfortunately, the effect of variable weather conditions presents a …
Development of an effective corruption-related scenario-based testing approach for robustness verification and enhancement of perception systems in autonomous …
H Hsiang, YY Chen - Sensors, 2024 - mdpi.com
Given that sensor-based perception systems are utilized in autonomous vehicle
applications, it is essential to validate such systems to ensure their robustness before they …
applications, it is essential to validate such systems to ensure their robustness before they …
Development of Simulation-Based Testing Scenario Generator for Robustness Verification of Autonomous Vehicles
H Hsiang, KC Chen, YY Chen - 2022 5th International …, 2022 - ieeexplore.ieee.org
This paper explores how to effectively increase the testing scenarios for robustness
verification of autonomous vehicles by adjusting various traffic scenarios and different …
verification of autonomous vehicles by adjusting various traffic scenarios and different …