activity
20192022
most citedCooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors

334 citations · 416 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 2 cited

Map-free Visual Relocalization: Metric Pose Relative to a Single Image

Eduardo Arnold, Jamie Wynn, Sara Vicente +5

Can we relocalize in a scene represented by a single reference image? Standard visual relocalization requires hundreds of images and scale calibration to build a scene-specific 3D…

cs.CV2021

Fast and Robust Registration of Partially Overlapping Point Clouds

Eduardo Arnold, Sajjad Mozaffari, Mehrdad Dianati

Real-time registration of partially overlapping point clouds has emerging applications in cooperative perception for autonomous vehicles and multi-agent SLAM. The relative translat…

cs.CV2021★ 79 cited

Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks

Sajjad Mozaffari, Eduardo Arnold, Mehrdad Dianati +1

Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to various road accident records. Thus, reliably predicting such manoeuvre in advance is crit…

cs.CV2021★ 1 cited

Visual Sensor Pose Optimisation Using Visibility Models for Smart Cities

Eduardo Arnold, Sajjad Mozaffari, Mehrdad Dianati +1

Visual sensor networks are used for monitoring traffic in large cities and are promised to support automated driving in complex road segments. The pose of these sensors, i.e. posit…

cs.CV2019★ 334 cited

Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors

Eduardo Arnold, Mehrdad Dianati, Robert de Temple +1

3D object detection is a common function within the perception system of an autonomous vehicle and outputs a list of 3D bounding boxes around objects of interest. Various 3D object…