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Found 5 papers, 0 papers with code
Open-World Object Detection with Instance Representation Learning
Additionally, we demonstrate that the enhanced feature from our model increases the detector's applicability to tasks such as open-world tracking.
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference
Robotic mapping with Bayesian Kernel Inference (BKI) has shown promise in creating semantic maps by effectively leveraging local spatial information.
DA-RAW: Domain Adaptive Object Detection for Real-World Adverse Weather Conditions
Despite the success of deep learning-based object detection methods in recent years, it is still challenging to make the object detector reliable in adverse weather conditions such as rain and snow.
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
By integrating our framework with a model predictive controller, we demonstrate that estimated traversability results in effective navigation that enables distinct maneuvers based on the driving characteristics of the vehicles.
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty
LiDAR is widely used to capture accurate 3D outdoor scene structures.
