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 1601–1625 of 6092 papers

TitleStatusHype
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Dimensionality of datasets in object detection networksCode0
An Active Learning Reliability Method for Systems with Partially Defined Performance FunctionsCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
MV-MOS: Multi-View Feature Fusion for 3D Moving Object SegmentationCode0
Balancing Two Classifiers via A Simplex ETF Structure for Model CalibrationCode0
Multi-View 3D Object Detection Network for Autonomous DrivingCode0
Multispectral Pedestrian Detection via Simultaneous Detection and SegmentationCode0
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior PredictionCode0
ShelfNet for Fast Semantic SegmentationCode0
Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving SystemsCode0
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth EstimationCode0
Baidu Apollo EM Motion PlannerCode0
Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional NetworkCode0
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating AlgorithmCode0
Multi-modality Anomaly Segmentation on the RoadCode0
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional NetworksCode0
DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough RoadsCode0
Multimodal 3D Object Detection from Simulated PretrainingCode0
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
BadDet: Backdoor Attacks on Object DetectionCode0
Opendenselane: A Dense Lidar-Based Dataset for HD Map ConstructionCode0
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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