AMZ Driverless: The Full Autonomous Racing System

4 code implementations • 13 May 2019 • Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart

This paper presents the algorithms and system architecture of an autonomous racecar.

Robotics

Redundant Perception and State Estimation for Reliable Autonomous Racing

no code implementations • 26 Sep 2018 • Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart

In autonomous racing, vehicles operate close to the limits of handling and a sensor failure can have critical consequences.

Dynamic Objects Segmentation for Visual Localization in Urban Environments

no code implementations • 9 Jul 2018 • Guoxiang Zhou, Berta Bescos, Marcin Dymczyk, Mark Pfeiffer, José Neira, Roland Siegwart

Yet, in highly dynamic environments, like crowded city streets, problems arise as major parts of the image can be covered by dynamic objects.

Pose Estimation Visual Localization +1

A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments

no code implementations • 25 Sep 2017 • Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan Nieto, Roland Siegwart, Cesar Cadena

This paper reports on a data-driven, interaction-aware motion prediction approach for pedestrians in environments cluttered with static obstacles.

Robotics