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03/01/2020
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Monocular 3D object detection is an essential component in autonomous dr...
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01/06/2020
High-speed Autonomous Drifting with Deep Reinforcement Learning
Drifting is a complicated task for autonomous vehicle control. Most trad...
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07/10/2019
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments
Vision-based autonomous driving through imitation learning mimics the be...
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04/17/2019
Gaze Training by Modulated Dropout Improves Imitation Learning
Imitation learning by behavioral cloning is a prevalent method which has...
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04/03/2019
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues
This paper proposes a novel weakly-supervised semantic segmentation meth...
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03/03/2019
End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation
End-to-end visual-based imitation learning has been widely applied in au...
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09/17/2018
Focal Loss in 3D Object Detection
3D object detection is still an open problem in autonomous driving scene...
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07/17/2018
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
In this paper, we propose PointSeg, a real-time end-to-end semantic segm...
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04/02/2018
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
This paper investigates exploration strategies of Deep Reinforcement Lea...
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02/01/2018
VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
This paper deals with the reality gap from a novel perspective, targetin...
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10/06/2017
Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
We present an approach for mobile robots to learn to navigate in pedestr...
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09/25/2017
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning
In this paper we focus on developing a control algorithm for multi-terra...
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06/29/2017
Neural SLAM: Learning to Explore with External Memory
We present an approach for agents to learn representations of a global m...
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03/02/2017
Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention
Fusion of heterogeneous extroceptive sensors is the most effient and eff...
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12/21/2016
Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not
Deep-learning has dramatically changed the world overnight. It greatly b...
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10/06/2016
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
Exploration in an unknown environment is the core functionality for mobi...
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10/06/2016