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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 376–400 of 514 papers

TitleStatusHype
Scaling Out-of-Distribution Detection for Real-World SettingsCode1
PointPainting: Sequential Fusion for 3D Object DetectionCode1
Automatic Testing With Reusable Adversarial Agents—0
Attacking Optical FlowCode0
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks—0
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets—0
Conditional Driving from Natural Language Instructions—0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
Semantic Understanding of Foggy Scenes with Purely Synthetic DataCode0
GLADAS: Gesture Learning for Advanced Driver Assistance Systems—0
Learning with Protection: Rejection of Suspicious Samples under Adversarial Environment—0
Talk2Car: Taking Control of Your Self-Driving CarCode1
Social and Scene-Aware Trajectory Prediction in Crowded SpacesCode1
A*3D Dataset: Towards Autonomous Driving in Challenging EnvironmentsCode0
Towards Assume-Guarantee Profiles for Autonomous Vehicles—0
Context Aware Road-user Importance Estimation (iCARE)—0
StarNet: Targeted Computation for Object Detection in Point Clouds—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
Neural Image Compression and ExplanationCode0
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization—0
To Learn or Not to Learn: Visual Localization from Essential Matrices—0
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles—0
End-to-end sensor modeling for LiDAR Point Cloud—0
Separable Convolutional LSTMs for Faster Video SegmentationCode1
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations—0
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