H2020 MSCA Innovative Training Network for the research on Advanced Hardware/Software Components for Integrated/Embedded Vision Systems

ESR6: UC

Methods for autonomous navigation and localization in traffic environments

@ Instituto de Sistemas e Robótica (Universidade de Coimbra), Portugal

The objectives of the research activities are the development of algorithms for obstacle detection, visual odometry and “partial slam” for autonomous navigation and localization in traffic scenarios. In particular the development will be carried out taking into account the specific architectures developed in WP3, WP4 and WP5. The methods that will be developed consider multiple constraints, namely power consumption and fault tolerance. The algorithms will exploit the sensor and computational redundancy adjusting their methods to a real-time adaptive evaluation of the environment and conditions. The use of 3D and 2D data will be exploited by combining their complementary nature and the topology of the network.

Position: PhD in methods for autonomous navigation and localization in traffic environments

Application deadline: open