427 citations · 1.1k across the 39 of their papers we have counts for
5 papers · 1 filter
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset
Ross Greer, Jason Isa, Nachiket Deo +2
Safe path planning in autonomous driving is a complex task due to the interplay of static scene elements and uncertain surrounding agents. While all static scene elements are a sou…
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
Akshay Rangesh, Nachiket Deo, Ross Greer +2
Understanding occupant-vehicle interactions by modeling control transitions is important to ensure safe approaches to passenger vehicle automation. Models which contain contextual,…
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
Akshay Rangesh, Nachiket Deo, Ross Greer +2
With increasing automation in passenger vehicles, the study of safe and smooth occupant-vehicle interaction and control transitions is key. In this study, we focus on the developme…
LaneAF: Robust Multi-Lane Detection with Affinity Fields
Hala Abualsaud, Sean Liu, David Lu +3
This study presents an approach to lane detection involving the prediction of binary segmentation masks and per-pixel affinity fields. These affinity fields, along with the binary…
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking
Akshay Rangesh, Pranav Maheshwari, Mez Gebre +3
This study follows many classical approaches to multi-object tracking (MOT) that model the problem using dynamic graphical data structures, and adapts this formulation to make it a…