Alexander Liniger

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 85

Top Topics

Motion Prediction

Piecewise Planar

Depth Estimation

Object Detection

Top Venues

IEEE Robotics Autom. Lett.

Publications

Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai
Object-centric Cross-modal Feature Distillation for Event-based Object Detection. ICRA (2024)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Improving Online Lane Graph Extraction by Object-Lane Clustering. CoRR (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. ITSC (2023)
Andrea Boscolo Camiletto, Alfredo Bochicchio, Alexander Liniger, Dengxin Dai, Abel Gawel
U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization. CoRR (2023)
Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai
Object-centric Cross-modal Feature Distillation for Event-based Object Detection. CoRR (2023)
Ayoub Raji, Nicola Musiu, Alessandro Toschi, Francesco Prignoli, Eugenio Mascaro, Pietro Musso, Francesco Amerotti, Alexander Liniger, Silvio Sorrentino, Marko Bertogna
A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential. CoRR (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. CoRR (2023)
Ayoub Raji, Danilo Caporale, Francesco Gatti, Andrea Giove, Micaela Verucchi, Davide Malatesta, Nicola Musiu, Alessandro Toschi, Silviu Roberto Popitanu, Fabio Bagni, Massimiliano Bosi, Alexander Liniger, Marko Bertogna, Daniele Morra, Francesco Amerotti, Luca Bartoli, Federico Martello, Riccardo Porta
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds. CoRR (2023)
Ayoub Raji, Nicola Musiu, Alessandro Toschi, Francesco Prignoli, Eugenio Mascaro, Pietro Musso, Francesco Amerotti, Alexander Liniger, Silvio Sorrentino, Marko Bertogna
A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential. ICSC (2023)
Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. CoRR (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Online Lane Graph Extraction from Onboard Video. ITSC (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Improving Online Lane Graph Extraction by Object-Lane Clustering. ICCV (2023)
Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS (2023)
Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. CoRR (2023)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA (2023)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR (2023)
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool
Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. 20 (1) (2023)
Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Online Lane Graph Extraction from Onboard Video. CoRR (2023)
Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields. IEEE Robotics Autom. Lett. 7 (4) (2022)
Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool
Understanding Bird's-Eye View of Road Semantics Using an Onboard Camera. IEEE Robotics Autom. Lett. 7 (2) (2022)
Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC (2022)
Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7 (2) (2022)
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool
Deep Gradient Learning for Efficient Camouflaged Object Detection. CoRR (2022)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
End-to-End Learning of Multi-category 3D Pose and Shape Estimation. BMVC (2022)
Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields. CoRR (2022)
José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. CoRR (2022)
Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
Adiabatic Quantum Computing for Multi Object Tracking. CoRR (2022)
Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CVPR (2022)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. CVPR (2022)
Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7 (2) (2022)
Ayoub Raji, Alexander Liniger, Andrea Giove, Alessandro Toschi, Nicola Musiu, Daniele Morra, Micaela Verucchi, Danilo Caporale, Marko Bertogna
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds. ITSC (2022)
Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CoRR (2022)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images. CoRR (2022)
Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
Adiabatic Quantum Computing for Multi Object Tracking. CVPR (2022)
Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. CoRR (2022)
Ayoub Raji, Alexander Liniger, Andrea Giove, Alessandro Toschi, Nicola Musiu, Daniele Morra, Micaela Verucchi, Danilo Caporale, Marko Bertogna
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds. CoRR (2022)
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros
Learning from Simulation, Racing in Reality. ICRA (2021)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
End-to-End Learning of Multi-category 3D Pose and Shape Estimation. CoRR (2021)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. CoRR (2021)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. CoRR (2021)
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
Competitive policy optimization. UAI (2021)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV (2021)
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS (2021)
Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. CoRR (2021)
Sirish Srinivasan, Sebastian Nicolas Giles, Alexander Liniger
A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver. IEEE Robotics Autom. Lett. 6 (4) (2021)
Xiaojing Zhang, Alexander Liniger, Francesco Borrelli
Optimization-Based Collision Avoidance. IEEE Trans. Control. Syst. Technol. 29 (3) (2021)
Sirish Srinivasan, Sebastian Nicolas Giles, Alexander Liniger
A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver. CoRR (2021)
Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. IROS (2021)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. CoRR (2021)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. ICCV (2021)
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR (2021)
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool
Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR (2021)
Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros
Reference design for closed loop system optimization. ECC (2020)
Simon Hecker, Dengxin Dai, Alexander Liniger, Luc Van Gool
Learning Accurate and Human-Like Driving using Semantic Maps and Attention. CoRR (2020)
Simon Hecker, Dengxin Dai, Alexander Liniger, Martin Hahner, Luc Van Gool
Learning Accurate and Human-Like Driving using Semantic Maps and Attention. IROS (2020)
José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. IROS (2020)
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. IROS (2020)
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros
Learning from Simulation, Racing in Reality. CoRR (2020)
Alexander Liniger, John Lygeros
A Noncooperative Game Approach to Autonomous Racing. IEEE Trans. Control. Syst. Technol. 28 (3) (2020)
Alexander Liniger, Luc Van Gool
Safe Motion Planning for Autonomous Driving using an Adversarial Road Model. Robotics: Science and Systems (2020)
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. CoRR (2020)
Juraj Kabzan, Miguel de la Iglesia Valls, Victor J. F. Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj 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
AMZ Driverless: The full autonomous racing system. J. Field Robotics 37 (7) (2020)
Martin Hahner, Dengxin Dai, Alexander Liniger, Luc Van Gool
Quantifying Data Augmentation for LiDAR based 3D Object Detection. CoRR (2020)
Alexander Liniger, Luc Van Gool
Safe Motion Planning for Autonomous Driving using an Adversarial Road Model. CoRR (2020)
José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. CoRR (2020)
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
Competitive Policy Optimization. CoRR (2020)
Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool
Understanding Bird's-Eye View Semantic HD-Maps Using an Onboard Monocular Camera. CoRR (2020)
Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros
Reference design for closed loop system optimization. CoRR (2020)
Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros
Real-Time Predictive Control for Precision Machining. CoRR (2019)
Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj 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
AMZ Driverless: The Full Autonomous Racing System. CoRR (2019)
Juraj Kabzan, Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
Learning-Based Model Predictive Control for Autonomous Racing. IEEE Robotics Autom. Lett. 4 (4) (2019)
Alexander Liniger, John Lygeros
Real-Time Control for Autonomous Racing Based on Viability Theory. IEEE Trans. Control. Syst. Technol. 27 (2) (2019)
Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool
Learning a Curve Guardian for Motorcycles. CoRR (2019)
Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool
Learning a Curve Guardian for Motorcycles. ITSC (2019)
Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros
Real-Time Predictive Control for Precision Machining. CDC (2019)
Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars. ECC (2018)
Xiaojing Zhang, Alexander Liniger, Atsushi Sakai, Francesco Borrelli
Autonomous Parking Using Optimization-Based Collision Avoidance. CDC (2018)
Alexander Liniger, Xiaojing Zhang, Philipp Aeschbach, Angelos Georghiou, John Lygeros
Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback. ACC (2017)
Alexander Liniger, Alexander Domahidi, Manfred Morari
Optimization-Based Autonomous Racing of 1: 43 Scale RC Cars. CoRR (2017)
Xiaojing Zhang, Alexander Liniger, Francesco Borrelli
Optimization-Based Collision Avoidance. CoRR (2017)
Alexander Liniger, John Lygeros
Real-Time Control for Autonomous Racing Based on Viability Theory. CoRR (2017)
Alexander Liniger, John Lygeros
A Non-Cooperative Game Approach to Autonomous Racing. CoRR (2017)
Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars. CoRR (2017)
Jesus Velasco Carrau, Alexander Liniger, Xiaojing Zhang, John Lygeros
Efficient implementation of Randomized MPC for miniature race cars. ECC (2016)
Alexander Liniger, John Lygeros
A viability approach for fast recursive feasible finite horizon path planning of autonomous RC cars. HSCC (2015)