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

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Showing 1351–1400 of 6092 papers

TitleStatusHype
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Reference Pose Generation for Long-term Visual Localization via Learned Features and View SynthesisCode1
Learning hierarchical behavior and motion planning for autonomous drivingCode1
End-to-End Lane Marker Detection via Row-wise ClassificationCode1
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler AnnotationsCode1
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban EnvironmentsCode1
Development of a hand gesture based control interface using Deep LearningCode1
PolyLaneNet: Lane Estimation via Deep Polynomial RegressionCode1
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty EstimationCode1
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR MapsCode1
Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention ModuleCode1
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsCode1
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection SystemsCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
RetinaTrack: Online Single Stage Joint Detection and TrackingCode1
PiP: Planning-informed Trajectory Prediction for Autonomous DrivingCode1
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Counterfactual Policy Evaluation for Decision-Making in Autonomous DrivingCode1
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban RoadwaysCode1
Synthesize then Compare: Detecting Failures and Anomalies for Semantic SegmentationCode1
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image TranslationCode1
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View MapsCode1
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
RODNet: Radar Object Detection Using Cross-Modal SupervisionCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D GeometryCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object DetectionCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving ImagesCode1
Spatiotemporal Relationship Reasoning for Pedestrian Intent PredictionCode1
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
An LSTM-Based Autonomous Driving Model Using Waymo Open DatasetCode1
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed TrafficCode1
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving ModelsCode1
Universal Semantic Segmentation for Fisheye Urban Driving ImagesCode1
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement LearningCode1
Probabilistic 3D Multi-Object Tracking for Autonomous DrivingCode1
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous DrivingCode1
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature DescriptionCode1
Visual Semantic SLAM with Landmarks for Large-Scale Outdoor EnvironmentCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
Learning by CheatingCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
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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