45 citations · 76 across the 13 of their papers we have counts for
26 papers
Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability
Chi Zhang, Janis Sprenger, Zhongjun Ni +1
Predicting pedestrian crossing behavior is important for intelligent traffic systems to avoid pedestrian-vehicle collisions. Most existing pedestrian crossing behavior models are t…
Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's advanced automotive systems are turning into intelligent Cyber-Physical Systems (CPS), bringing computational intelligence to their cyber-physical context. Such systems pow…
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's advanced driver assistance systems (ADAS), like adaptive cruise control or rear collision warning, are finding broader adoption across vehicle classes. Integrating such adv…
Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review
Pierre Lamart, Yinan Yu, Christian Berger
Machine Learning (ML) is continuously permeating a growing amount of application domains. Generative AI such as Large Language Models (LLMs) also sees broad adoption to process mul…
Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
Tayssir Bouraffa, Elias Kjellberg Carlson, Erik Wessman +3
Gathering data and identifying events in various traffic situations remains an essential challenge for the systematic evaluation of a perception system's performance. Analyzing lar…
AirDnD -- Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework
Malsha Ashani Mahawatta Dona, Christian Berger, Yinan Yu
The increasing usage of IoT devices has generated an extensive volume of data which resulted in the establishment of data centers with well-structured computing infrastructure. Red…