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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

Showing 51100 of 514 papers

TitleStatusHype
An LSTM-Based Autonomous Driving Model Using Waymo Open DatasetCode1
MOD-UV: Learning Mobile Object Detectors from Unlabeled VideosCode1
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert LabelsCode1
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object DetectionCode1
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous DrivingCode1
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View UnderstandingCode1
Maximum diffusion reinforcement learningCode1
Model-Based Reinforcement Learning with Isolated ImaginationsCode1
MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement LearningCode1
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty EstimationCode1
Vehicle trajectory prediction works, but not everywhereCode1
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier SpectrumsCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Detection of out-of-distribution samples using binary neuron activation patternsCode1
Object Tracking by Detection with Visual and Motion CuesCode1
3D Packing for Self-Supervised Monocular Depth EstimationCode1
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance FieldsCode1
Deep Perspective Transformation Based Vehicle Localization on Bird's Eye ViewCode1
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
A survey of loss functions for semantic segmentationCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
Attribution Preservation in Network Compression for Reliable Network InterpretationCode1
DiffSF: Diffusion Models for Scene Flow EstimationCode1
Dialogue-based generation of self-driving simulation scenarios using Large Language ModelsCode1
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?Code1
DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light DetectionCode1
Scaling Out-of-Distribution Detection for Real-World SettingsCode1
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningCode1
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving CarsCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
PointPainting: Sequential Fusion for 3D Object DetectionCode1
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous VehiclesCode1
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Artificial Intelligence in Surgery: Neural Networks and Deep LearningCode1
Generalizing in the Real World with Representation LearningCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional NetworksCode1
A Robust Statistics Approach for Plane Detection in Unorganized Point CloudsCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Moving Object Detection for Event-based vision using Graph Spectral ClusteringCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
4D Panoptic LiDAR SegmentationCode1
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable SimulationCode1
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at NightCode1
A Robust Learning Approach to Domain Adaptive Object DetectionCode0
A Feedback Linearized Model Predictive Control Strategy for Input-Constrained Self-Driving CarsCode0
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and IdentificationCode0
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