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cs.CV2025

MTR-VP: Towards End-to-End Trajectory Planning through Context-Driven Image Encoding and Multiple Trajectory Prediction

Maitrayee Keskar, Mohan Trivedi, Ross Greer

We present a method for trajectory planning for autonomous driving, learning image-based context embeddings that align with motion prediction frameworks and planning-based intentio…

cs.CV2025

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors

Walter Zimmer, Ross Greer, Xingcheng Zhou +7

Road traffic injuries are the leading cause of death for people aged 5-29, resulting in about 1.19 million deaths each year. To reduce these fatalities, it is essential to address…

cs.CV2024

ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection

Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer +5

The curation of large-scale datasets is still costly and requires much time and resources. Data is often manually labeled, and the challenge of creating high-quality datasets remai…

cs.CV2024

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection

Sondos Mohamed, Walter Zimmer, Ross Greer +6

Accurately detecting 3D objects from monocular images in dynamic roadside scenarios remains a challenging problem due to varying camera perspectives and unpredictable scene conditi…

cs.CV2024

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection

Ross Greer, Bjørk Antoniussen, Andreas Møgelmose +1

Object detection is crucial for ensuring safe autonomous driving. However, data-driven approaches face challenges when encountering minority or novel objects in the 3D driving scen…

cs.CV2024

Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Akshay Gopalkrishnan, Ross Greer, Mohan Trivedi

Vision-Language Models (VLMs) and Multi-Modal Language models (MMLMs) have become prominent in autonomous driving research, as these models can provide interpretable textual reason…