SOTAVerified

Self-Driving Cars

Self-driving cars : the task of making a car that can drive itself without human guidance.

( Image credit: Learning a Driving Simulator )

Papers

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Showing 351–375 of 514 papers

TitleStatusHype
To Learn or Not to Learn: Visual Localization from Essential Matrices—0
Towards AIOps in Edge Computing Environments—0
Towards Assume-Guarantee Profiles for Autonomous Vehicles—0
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization—0
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision—0
Towards Measuring Ethicality of an Intelligent Assistive System—0
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies—0
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures—0
Towards self-attention based visual navigation in the real world—0
Towards Self-Supervised High Level Sensor Fusion—0
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models—0
Traffic Lane Detection using FCN—0
Traffic Sign Detection With Event Cameras and DCNN—0
Traffic Sign Recognition Using Local Vision Transformer—0
Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution—0
TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation—0
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene—0
Triply Supervised Decoder Networks for Joint Detection and Segmentation—0
Trusted Neural Networks for Safety-Constrained Autonomous Control—0
Trusting Semantic Segmentation Networks—0
Trustworthy XAI and Application—0
Two-stream convolutional networks for end-to-end learning of self-driving cars—0
UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles—0
Uncertainties of Latent Representations in Computer Vision—0
Uncertainty depth estimation with gated images for 3D reconstruction—0
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