SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5651–5700 of 6092 papers

TitleStatusHype
A survey of Object Classification and Detection based on 2D/3D data—0
Training Data Subset Search with Ensemble Active Learning—0
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles—0
Radial Prediction LayerCode0
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
Straight to Shapes++: Real-time Instance Segmentation Made More AccurateCode0
Deep Representation Learning for Road Detection through Siamese Network—0
Rearchitecting Classification Frameworks For Increased Robustness—0
Adaptive Symmetric Reward Noising for Reinforcement LearningCode0
Inverse Reinforcement Learning in Contextual MDPsCode0
Towards Safety-Aware Computing System Design in Autonomous Vehicles—0
Predicting Model Failure using Saliency Maps in Autonomous Driving SystemsCode0
Multimodal 3D Object Detection from Simulated PretrainingCode0
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous drivingCode0
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching—0
Meta-Reinforcement Learning for Adaptive Autonomous Driving—0
Monocular Plan View Networks for Autonomous Driving—0
Autonomous Vehicle Control: End-to-end Learning in Simulated Urban EnvironmentsCode0
PhaseCam3D — Learning Phase Masks for Passive Single View Depth EstimationCode0
Joint haze image synthesis and dehazing with mmd-vae losses—0
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining—0
Randomized Adversarial Imitation Learning for Autonomous Driving—0
Object Detection in Specific Traffic Scenes using YOLOv2—0
Uncertainty-Aware Data Aggregation for Deep Imitation Learning—0
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving—0
A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications—0
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling—0
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples—0
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection—0
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous drivingCode0
Deep Multi-Sensor Lane Detection—0
SoilingNet: Soiling Detection on Automotive Surround-View Cameras—0
Agnostic Lane Detection—0
Enhanced free space detection in multiple lanes based on single CNN with scene identificationCode0
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle PerceptionCode1
Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks—0
RRPN: Radar Region Proposal Network for Object Detection in Autonomous VehiclesCode0
Learning to Drive by Observing the Best and Synthesizing the Worst—0
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation LearningCode1
Self Training Autonomous Driving Agent—0
MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity Map for Stereo Matching—0
Pedestrian Collision Avoidance System for Scenarios with OcclusionsCode0
Multi-scale Cross-form Pyramid Network for Stereo Matching—0
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning—0
Segmenting the FutureCode0
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning—0
Baconian: A Unified Open-source Framework for Model-Based Reinforcement LearningCode0
DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation—0
Model-free Deep Reinforcement Learning for Urban Autonomous DrivingCode1
Simple yet efficient real-time pose-based action recognitionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified