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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 76–100 of 514 papers

TitleStatusHype
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized RepresentationCode1
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory PredictionCode1
Editable Neural NetworksCode1
A Robust Statistics Approach for Plane Detection in Unorganized Point CloudsCode1
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional NetworksCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
UnMask: Adversarial Detection and Defense Through Robust Feature AlignmentCode1
R-MADDPG for Partially Observable Environments and Limited CommunicationCode1
An LSTM-Based Autonomous Driving Model Using Waymo Open DatasetCode1
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous DataCode1
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
Scaling Out-of-Distribution Detection for Real-World SettingsCode1
PointPainting: Sequential Fusion for 3D Object DetectionCode1
Talk2Car: Taking Control of Your Self-Driving CarCode1
Social and Scene-Aware Trajectory Prediction in Crowded SpacesCode1
Separable Convolutional LSTMs for Faster Video SegmentationCode1
MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement LearningCode1
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty EstimationCode1
3D Packing for Self-Supervised Monocular Depth EstimationCode1
Social GAN: Socially Acceptable Trajectories with Generative Adversarial NetworksCode1
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?Code1
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Continual Hyperbolic Learning of Instances and Classes—0
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies—0
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