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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 251–275 of 514 papers

TitleStatusHype
Why AI is Harder Than We ThinkCode1
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable SimulationCode1
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload—0
Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression—0
Trajectory Prediction with Latent Belief Energy-Based ModelCode1
An NCAP-like Safety Indicator for Self-Driving Cars—0
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and CompletionCode2
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy—0
Fixes That Fail: Self-Defeating Improvements in Machine-Learning SystemsCode0
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving—0
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry—0
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection—0
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and AlgorithmsCode1
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal AssociationCode2
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
AutoPreview: A Framework for Autopilot Behavior Understanding—0
Imitation Learning with Human Eye Gaze via Multi-Objective PredictionCode0
4D Panoptic LiDAR SegmentationCode1
Accelerating Recursive Partition-Based Causal Structure Learning—0
Towards AIOps in Edge Computing Environments—0
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network—0
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars—0
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models—0
Object Tracking by Detection with Visual and Motion CuesCode1
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