Publications

This page shows only a small selection of my work. For the complete and up-to-date list, please see my Google Scholar profile.

Selected Publications

Prediction & Planning

Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss
R. Greer, N. Deo, M. Trivedi
IEEE Robotics and Automation Letters (RA-L), 2021
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets
R. Greer, M. Trivedi
arXiv, 2024

Perception & Detection

Multi-frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving
A. Gopalkrishnan, R. Greer, M. Trivedi
CVPR Workshop on Vision and Language for Autonomous Driving and Robotics (VLADR), 2024
Robust Traffic Light Detection Using Salience-Sensitive Loss
R. Greer, A. Gopalkrishnan, J. Landgren, L. Rakla, A. Gopalan, M. Trivedi
IEEE Intelligent Vehicles Symposium (IV), 2023
Patterns of Vehicle Lights: Addressing Complexities of Camera-Based Vehicle Light Datasets
R. Greer, A. Gopalkrishnan, M. Keskar, M. Trivedi
Pattern Recognition Letters, 2024
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection
S. Mohamed, W. Zimmer, R. Greer, A. Ghita, M. Castillán-Santana, et al.
European Conference on Computer Vision (ECCV), 2024

Human-Vehicle Interaction & Safety

Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
A. Rangesh, N. Deo, R. Greer, P. Gunaratne, M. Trivedi
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework
R. Greer, S. Desai, L. Rakla, A. Gopalkrishnan, A. Alofi, M. Trivedi
IEEE Intelligent Vehicles Symposium (IV), 2023
Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets
A. Alofi, R. Greer, A. Gopalkrishnan, M. Trivedi
IEEE Intelligent Vehicles Symposium (IV), 2024
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Driving
T. E. W. Bossen, A. Mögelmose, R. Greer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Active Learning & Data Curation

ActiveAnno3D: An Active Learning Framework for Multi-Modal 3D Object Detection
A. Ghita, B. Antoniussen, W. Zimmer, R. Greer, C. Creß, A. Mögelmose, M. Trivedi, A. Knoll
IEEE Intelligent Vehicles Symposium (IV), 2024
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving
R. Greer, B. Antoniussen, M. Andersen, A. Mögelmose, M. Trivedi
arXiv, 2024
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
R. Greer, B. Antoniussen, A. Mögelmose, M. Trivedi
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025

Surveys

Generative AI for Autonomous Driving: Frontiers and Opportunities
Y. Wang, S. Xing, C. Cui, R. Li, H. Hua, K. Tian, Z. Mo, X. Gao, M. Pavone, ..., R. Greer, et al.
ACM Computing Surveys, 2025