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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 301–350 of 514 papers

TitleStatusHype
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking—0
Development of Open Informal Dataset Affecting Autonomous Driving—0
OpenTraj: Assessing Prediction Complexity in Human Trajectories DatasetsCode1
Self-Supervised Few-Shot Learning on Point CloudsCode1
Artificial Intelligence in Surgery: Neural Networks and Deep LearningCode1
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
Embedded Development Boards for Edge-AI: A Comprehensive Report—0
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace DetectionCode1
MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human LocalizationCode1
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks—0
SoDA: Multi-Object Tracking with Soft Data Association—0
Attention-based 3D Object Reconstruction from a Single Image—0
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts—0
Searching Efficient 3D Architectures with Sparse Point-Voxel ConvolutionCode2
Infrastructure-based Multi-Camera Calibration using Radial ProjectionsCode1
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation—0
Fully Dynamic Inference with Deep Neural Networks—0
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories—0
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
SOCRATES: Towards a Unified Platform for Neural Network AnalysisCode1
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning—0
Adaptive Compression of Word Embeddings—0
Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars—0
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures—0
Application of Neuroevolution in Autonomous Cars—0
A survey of loss functions for semantic segmentationCode1
AutoCP: Automated Pipelines for Accurate Prediction Intervals—0
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles—0
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges—0
Anomalous Motion Detection on Highway Using Deep LearningCode0
Pixel Invisibility: Detecting Objects Invisible in Color Images—0
Feudal Steering: Hierarchical Learning for Steering Angle Prediction—0
Probabilistic Semantic Mapping for Urban Autonomous Driving Applications—0
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks—0
A Survey on 3D LiDAR Localization for Autonomous Vehicles—0
Monocular Depth Estimators: Vulnerabilities and Attacks—0
Adversarial Attacks and Defense on Texts: A Survey—0
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?—0
Monitoring and Diagnosability of Perception Systems—0
Satellite Navigation for the Age of Autonomy—0
OctSqueeze: Octree-Structured Entropy Model for LiDAR CompressionCode0
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation—0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized RepresentationCode1
Attentional Bottleneck: Towards an Interpretable Deep Driving Network—0
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review—0
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