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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 151–200 of 514 papers

TitleStatusHype
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
Progress and limitations of deep networks to recognize objects in unusual posesCode1
Pyramid Transformer for Traffic Sign Detection—0
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors—0
Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection—0
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars—0
Surround-View Cameras based Holistic Visual Perception for Automated DrivingCode0
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus—0
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards—0
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images—0
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor EnvironmentsCode1
A framework for the development of intelligent mechanical systems—0
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D DetectionCode1
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and IdentificationCode0
TraffSign: Multilingual Traffic Signboard Text Detection and Recognition for Urdu and EnglishCode0
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution—0
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at NightCode1
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIMECode0
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems—0
Testing Feedforward Neural Networks Training ProgramsCode1
Explainability in reinforcement learning: perspective and position—0
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
Hyperbolic Uncertainty Aware Semantic Segmentation—0
An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacksCode1
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach—0
Visual anomaly detection in video by variational autoencoder—0
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics—0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars—0
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law—0
3D-FlowNet: Event-based optical flow estimation with 3D representation—0
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and ClusteringCode0
Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction—0
Human Trajectory Prediction With Momentary Observation—0
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation—0
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques—0
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation FunctionsCode0
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles—0
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLACode1
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsCode0
Deep Generative Models for Vehicle Speed Trajectories—0
Pixel Level Segmentation Based Drivable Road Region Detection and Steering Angle Estimation Method for Autonomous Driving on Unstructured RoadsCode1
Predicting Physical World Destinations for Commands Given to Self-Driving CarsCode0
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges—0
Vehicle trajectory prediction works, but not everywhereCode1
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
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