3 papers
cs.CV2026
Easy3D-Labels: Supervising Semantic Occupancy Estimation with 3D Pseudo-Labels for Automotive Perception
Seamie Hayes, Ganesh Sistu, Tim Brophy +1
In perception for automated vehicles, safety is critical not only for the driver but also for other agents in the scene, particularly vulnerable road users such as pedestrians and…
cs.CV2025
Revisiting Birds Eye View Perception Models with Frozen Foundation Models: DINOv2 and Metric3Dv2
Seamie Hayes, Ganesh Sistu, Ciarán Eising
Birds Eye View perception models require extensive data to perform and generalize effectively. While traditional datasets often provide abundant driving scenes from diverse locatio…
cs.CV2024
MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles
Sushil Sharma, Arindam Das, Ganesh Sistu +2
Predicting ego vehicle trajectories remains a critical challenge, especially in urban and dense areas due to the unpredictable behaviours of other vehicles and pedestrians. Multimo…