BRAVO23
* *Robustness and Reliability of Autonomous Vehicles in the Open-world
* Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
* Camera-Based Road Snow Coverage Estimation
* Empirical Analysis of Range for 3D Object Detection, An
* GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
* Identifying Systematic Errors in Object Detectors with the SCROD Pipeline
* Introspection of 2D Object Detection using Processed Neural Activation Patterns in Automated Driving Systems
* On Offline Evaluation of 3D Object Detection for Autonomous Driving
* On the Interplay of Convolutional Padding and Adversarial Robustness
* Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield
* Synthetic Dataset Acquisition for a Specific Target Domain
* T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals
* Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
* What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving
* You can have your ensemble and run it too: Deep Ensembles Spread Over Time
15 for BRAVO23