Alexander Liniger

research

∙ 07/25/2023

Prior Based Online Lane Graph Extraction from Single Onboard Camera Image

The local road network information is essential for autonomous navigatio...

0 Yigit Baran Can, et al. ∙

research

∙ 07/20/2023

Improving Online Lane Graph Extraction by Object-Lane Clustering

Autonomous driving requires accurate local scene understanding informati...

0 Yigit Baran Can, et al. ∙

research

∙ 04/03/2023

Online Lane Graph Extraction from Onboard Video

Autonomous driving requires a structured understanding of the surroundin...

0 Yigit Baran Can, et al. ∙

research

∙ 03/07/2023

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

An emerging field of sequential decision problems is safe Reinforcement ...

0 Nick Bührer, et al. ∙

research

∙ 03/07/2023

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction

Data-driven simulation has become a favorable way to train and test auto...

0 Zhejun Zhang, et al. ∙

research

∙ 11/14/2022

Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images

We study the problem of estimating 3D shape and pose of an object in ter...

0 Yigit Baran Can, et al. ∙

research

∙ 09/17/2022

Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields

In this paper, we tackle the problem of active robotic 3D reconstruction...

20 Soomin Lee, et al. ∙

research

∙ 07/22/2022

Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds

This paper presents a multi-layer motion planning and control architectu...

0 Ayoub Raji, et al. ∙

research

∙ 05/25/2022

Deep Gradient Learning for Efficient Camouflaged Object Detection

This paper introduces DGNet, a novel deep framework that exploits object...

0 Ge-Peng Ji, et al. ∙

research

∙ 04/05/2022

Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models

In most classical Autonomous Vehicle (AV) stacks, the prediction and pla...

4 José L. Vázquez, et al. ∙

research

∙ 04/05/2022

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior

Monocular depth estimation is vital for scene understanding and downstre...

2 Vaishakh Patil, et al. ∙

research

∙ 02/17/2022

Adiabatic Quantum Computing for Multi Object Tracking

Multi-Object Tracking (MOT) is most often approached in the tracking-by-...

16 Jan-Nico Zaech, et al. ∙

research

∙ 02/14/2022

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

The rising popularity of self-driving cars has led to the emergence of a...

0 Johannes Betz, et al. ∙

research

∙ 12/19/2021

End-to-End Learning of Multi-category 3D Pose and Shape Estimation

In this paper, we study the representation of the shape and pose of obje...

0 Yigit Baran Can, et al. ∙

research

∙ 12/19/2021

Topology Preserving Local Road Network Estimation from Single Onboard Camera Image

Knowledge of the road network topology is crucial for autonomous plannin...

3 Yigit Baran Can, et al. ∙

research

∙ 10/05/2021

Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images

Autonomous navigation requires structured representation of the road net...

0 Yigit Baran Can, et al. ∙

research

∙ 08/18/2021

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

End-to-end approaches to autonomous driving commonly rely on expert demo...

0 Zhejun Zhang, et al. ∙

research

∙ 08/12/2021

Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction

Forecasting the future behavior of all traffic agents in the vicinity is...

0 Edoardo Mello Rella, et al. ∙

research

∙ 04/23/2021

Learnable Online Graph Representations for 3D Multi-Object Tracking

Tracking of objects in 3D is a fundamental task in computer vision that ...

0 Jan-Nico Zaech, et al. ∙

research

∙ 03/07/2021

Spectral Tensor Train Parameterization of Deep Learning Layers

We study low-rank parameterizations of weight matrices with embedded spe...

15 Anton Obukhov, et al. ∙

research

∙ 02/28/2021

A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver

We present a holistically designed three layer control architecture capa...

0 Sirish Srinivasan, et al. ∙

research

∙ 12/05/2020

Understanding Bird's-Eye View Semantic HD-Maps Using an Onboard Monocular Camera

Autonomous navigation requires scene understanding of the action-space t...

0 Yigit Baran Can, et al. ∙

research

∙ 11/26/2020

Learning from Simulation, Racing in Reality

We present a reinforcement learning-based solution to autonomously race ...

0 Eugenio Chisari, et al. ∙

research

∙ 07/10/2020

Learning Accurate and Human-Like Driving using Semantic Maps and Attention

This paper investigates how end-to-end driving models can be improved to...

0 Simon Hecker, et al. ∙

research

∙ 06/18/2020

Competitive Policy Optimization

A core challenge in policy optimization in competitive Markov decision p...

16 Manish Prajapat, et al. ∙

research

∙ 05/15/2020

Safe Motion Planning for Autonomous Driving using an Adversarial Road Model

This paper presents a game-theoretic path-following formulation where th...

0 Alexander Liniger, et al. ∙

research

∙ 04/29/2020

Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context

This work studies the problem of predicting the sequence of future actio...

5 Jan-Nico Zaech, et al. ∙

research

∙ 04/03/2020

Quantifying Data Augmentation for LiDAR based 3D Object Detection

In this work, we shed light on different data augmentation techniques co...

12 Martin Hahner, et al. ∙

research

∙ 03/10/2020

Optimization-Based Hierarchical Motion Planning for Autonomous Racing

In this paper we propose a hierarchical controller for autonomous racing...

0 José L. Vázquez, et al. ∙

research

∙ 07/12/2019

Learning a Curve Guardian for Motorcycles

Up to 17 through a curve and the main cause of curve accidents can be at...

3 Simon Hecker, et al. ∙

research

∙ 05/13/2019

AMZ Driverless: The Full Autonomous Racing System

This paper presents the algorithms and system architecture of an autonom...

0 Juraj Kabzan, et al. ∙

research

∙ 12/11/2017

A Non-Cooperative Game Approach to Autonomous Racing

We consider autonomous racing of two cars and present an approach to for...

0 Alexander Liniger, et al. ∙

research

∙ 11/20/2017

Optimization-Based Autonomous Racing of 1:43 Scale RC Cars

This paper describes autonomous racing of RC race cars based on mathemat...

0 Alexander Liniger, et al. ∙

research

∙ 11/09/2017

Optimization-Based Collision Avoidance

This paper presents a novel method for reformulating non-differentiable ...

1 Xiaojing Zhang, et al. ∙

Alexander Liniger

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