2 citations · 4 across the 6 of their papers we have counts for
8 papers
Lang3DSeg: Annotation-Free Open-Vocabulary 3D Segmentation with Point Transformers
Cigdem Kokenoz, Amir Salarpour, Alkim Domeke +5
Accurate 3D semantic perception is critical for safe autonomous navigation. However, supervised LiDAR segmentation remains tied to closed taxonomies and to the cost of point-wise m…
Lights, Camera, Attack: Exploiting Temporal HDR Fusion with Pulsed Light
Alkim Domeke, Michael Kuhr, Roman Gilliatt +5
Modern cameras widely use temporal High Dynamic Range (HDR) to improve visibility by capturing a sequence of exposures with different integration times and fusing them into a singl…
Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis
David Fernandez, Pedram MohajerAnsari, Amir Salarpour +1
Vision-language models (VLMs) are increasingly used in autonomous driving because they combine visual perception with language-based reasoning, supporting more interpretable decisi…
FedVLM: Scalable Personalized Vision-Language Models through Federated Learning
Arkajyoti Mitra, Afia Anjum, Paul Agbaje +2
Vision-language models (VLMs) demonstrate impressive zero-shot and few-shot learning capabilities, making them essential for several downstream tasks. However, fine-tuning these mo…
FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software
Andrew Roberts, Lorenz Teply, Mert D. Pese +3
Fuzz testing to find semantic control vulnerabilities is an essential activity to evaluate the robustness of autonomous driving (AD) software. Whilst there is a preponderance of di…
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI
Muhammet Anil Yagiz, Pedram MohajerAnsari, Mert D. Pese +1
In the evolving landscape of autonomous vehicles, ensuring robust in-vehicle network (IVN) security is paramount. This paper introduces an advanced intrusion detection system (IDS)…
Analyzing Privacy Implications of Data Collection in Android Automotive OS
Bulut Gözübüyük, Brian Tang, Kang G. Shin +1
Modern vehicles have become sophisticated computation and sensor systems, as evidenced by advanced driver assistance systems, in-car infotainment, and autonomous driving capabiliti…
Achieving the Safety and Security of the End-to-End AV Pipeline
Noah T. Curran, Minkyoung Cho, Ryan Feng +6
In the current landscape of autonomous vehicle (AV) safety and security research, there are multiple isolated problems being tackled by the community at large. Due to the lack of c…