InPercept: Intelligent Perception for Connected and Autonomous Vehicles

Type Start End
National Apr 2022 Jun 2024
Responsible URL
José A. Lázaro InPercept web site (in Spanish)


Project Focused in R+D+I, within the Sustainable Automotion Technology Program 2021-2023 (Programa Tecnológico de Automoción Sostenible, PTAS), supported by the Spanish Ministry of Science and Innovation and funded by CDTI (Centro para el Desarrollo Tecnológico Industrial).


INPERCEPT (Intelligent Perception for connected and autonomous vehicles) main objective is to advance in development of key enabling technologies providing enhanced capabilities to allow autonomous vehicles to operate more energy-efficiently and safely, and to be able to detect obstacles in adverse conditions.

In the context of InPercept, Capgemini Engineering develops a new radar system in order to improve autonomous perception by data fusion from several sensors (radar, cameras, GNSS), with the aim of detecting pedestrians and vulnerable vehicles, and to skip potentially dangerous situations with increased precision depending on environmental conditions. UPC contributes data fusion technologies for radar and video detection for Capgemini.

Fusion of 2D object detection and 4D radar pointsFusion of 2D object detection and 4D radar points
(nuScenes dataset, 3D data projection by UPC)




Lozano J, Jiménez H, Torres S, Biosca P, Fontanet B, Pinazo J, Lerín A, Dios F, Casas J, Lázaro JAntonio. Optical Phased Array Antenna Apodization for Lidar in Autonomous Vehicles. In: XIII Reunión OptoElectrónica. XIII Reunión OptoElectrónica. Sevilla, Spain: OPTOEL; 2023.
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, Ríos I, Jerez R, Santiago J, Linuesa Á, et al. Perception in the era of Autonomous Vehicles. In: Photonics 4 Smart Cities, SCEWC 2022. Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022. (2.34 MB)