In this blog post, we present the idea to enhance FutureDet by incorporating a two-stage motion prediction framework, where the first stage generates coarse future motion predictions, and a refinem...

I am excited to share a major milestone in my PhD journey: the submission of our survey paper, entitled “Joint Perception and Prediction for Autonomous Driving: A Survey”, to the prestigious IEEE T...

In this blog post, we will talk about the concept of end-to-end perception, also known as joint perception and prediction, explore state-of-the-art methodologies across a taxonomy defined by me, di...

In this post, I will delve into the critical topic of motion prediction in autonomous vehicles. Motion prediction plays a pivotal role in enabling self-driving cars to anticipate the movements of s...

In this post, we delve into the world of 3D object tracking, starting with its definition and why it’s important. We’ll then explore the key evaluation metrics used to assess tracking algorithms ef...

Welcome to my exploration of 3D object detection. In this blog post, we’ll begin by defining 3D object detection, then move on to evaluation metrics, examine the current state of the art, share exp...

In this blog post, I’ll be sharing my journey of exploring 2D object tracking, a vital area in computer vision. I’ll delve into its definition, evaluation metrics, state-of-the-art techniques, and ...

Welcome to my blog post where I’ll be sharing my insights into 2D object detection. This post will cover what 2D object detection is, the latest advancements in the field, how we measure the perfor...

This post is to describe my Ph.D. proposal to the Foundation for Science and Technology (FCT) in Portugal. This Ph.D. proposal was placed in 3rd out of 140 candidates in the Electrical and Electron...