activity
20202025
most citedThe Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration

3 citations · 10 across the 13 of their papers we have counts for

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17 papers · 1 filter

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

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

Driver Activity Classification Using Generalizable Representations from Vision-Language Models

Ross Greer, Mathias Viborg Andersen, Andreas Møgelmose +1

Driver activity classification is crucial for ensuring road safety, with applications ranging from driver assistance systems to autonomous vehicle control transitions. In this pape…

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…