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07/25/2023
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image
The local road network information is essential for autonomous navigatio...
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07/20/2023
Improving Online Lane Graph Extraction by Object-Lane Clustering
Autonomous driving requires accurate local scene understanding informati...
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04/03/2023
Online Lane Graph Extraction from Onboard Video
Autonomous driving requires a structured understanding of the surroundin...
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03/07/2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
An emerging field of sequential decision problems is safe Reinforcement ...
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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...
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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...
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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...
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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...
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05/25/2022
Deep Gradient Learning for Efficient Camouflaged Object Detection
This paper introduces DGNet, a novel deep framework that exploits object...
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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...
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04/05/2022
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
Monocular depth estimation is vital for scene understanding and downstre...
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02/17/2022
Adiabatic Quantum Computing for Multi Object Tracking
Multi-Object Tracking (MOT) is most often approached in the tracking-by-...
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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...
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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...
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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...
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10/05/2021
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images
Autonomous navigation requires structured representation of the road net...
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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...
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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...
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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 ...
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03/07/2021
Spectral Tensor Train Parameterization of Deep Learning Layers
We study low-rank parameterizations of weight matrices with embedded spe...
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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...
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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...
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11/26/2020
Learning from Simulation, Racing in Reality
We present a reinforcement learning-based solution to autonomously race ...
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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...
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06/18/2020
Competitive Policy Optimization
A core challenge in policy optimization in competitive Markov decision p...
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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...
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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...
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04/03/2020
Quantifying Data Augmentation for LiDAR based 3D Object Detection
In this work, we shed light on different data augmentation techniques co...
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03/10/2020
Optimization-Based Hierarchical Motion Planning for Autonomous Racing
In this paper we propose a hierarchical controller for autonomous racing...
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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...
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05/13/2019
AMZ Driverless: The Full Autonomous Racing System
This paper presents the algorithms and system architecture of an autonom...
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12/11/2017
A Non-Cooperative Game Approach to Autonomous Racing
We consider autonomous racing of two cars and present an approach to for...
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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...
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11/09/2017