14 citations · 15 across the 5 of their papers we have counts for
5 papers
Joint Perception and Prediction for Autonomous Driving: A Survey
Lucas Dal'Col, Miguel Oliveira, Vítor Santos
Perception and prediction modules are critical components of autonomous driving systems, enabling vehicles to navigate safely through complex environments. The perception module is…
PRIBOOT: A New Data-Driven Expert for Improved Driving Simulations
Daniel Coelho, Miguel Oliveira, Vitor Santos +1
The development of Autonomous Driving (AD) systems in simulated environments like CARLA is crucial for advancing real-world automotive technologies. To drive innovation, CARLA intr…
Volumetric Occupancy Detection: A Comparative Analysis of Mapping Algorithms
Manuel Gomes, Miguel Oliveira, Vítor Santos
Despite the growing interest in innovative functionalities for collaborative robotics, volumetric detection remains indispensable for ensuring basic security. However, there is a l…
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments
Daniel Coelho, Miguel Oliveira, Vitor Santos
Current approaches of Reinforcement Learning (RL) applied in urban Autonomous Driving (AD) focus on decoupling the perception training from the driving policy training. The main re…
Synfeal: A Data-Driven Simulator for End-to-End Camera Localization
Daniel Coelho, Miguel Oliveira, Paulo Dias
Collecting real-world data is often considered the bottleneck of Artificial Intelligence, stalling the research progress in several fields, one of which is camera localization. End…