3 papers indexed
Luca Lusvarghi, Javier Gozalvez, Pablo Urbano Hidalgo
Autonomous driving relies on computationally intensive perception pipelines to continuously detect and track objects in the surrounding environment. While some objects are key to plan safe and effective maneuvers, others may not be relevant and have no impact on the autonomous ve…
Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi, Javier Gozalvez
Automated vehicles rely on onboard sensors to perceive their surroundings and navigate autonomously. However, sensor performance may degrade under adverse weather conditions or when line-of-sight is obstructed. Cooperative perception (or collective perception) is expected to miti…
Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi, Sergei S. Avedisov, Mohammad Irfan Khan, Takayuki Shimizu, et al.
Connected Automated Vehicles (CAVs) utilize their onboard sensors to perceive the environment. The perception range and accuracy can be affected by adverse weather or non-line-of-sight conditions. Cooperative perception or sensor sharing can overcome these limitations by enabling…