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 3501–3525 of 6092 papers

TitleStatusHype
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach—0
Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories—0
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency TransferCode0
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras—0
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data—0
Group Regression for Query Based Object Detection and Tracking—0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review—0
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under UncertaintyCode0
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models—0
Towards Real Time Egocentric Segment Captioning for The Blind and Visually Impaired in RGB-D Theatre Images—0
STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision PredictionCode0
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation—0
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
On Offline Evaluation of 3D Object Detection for Autonomous Driving—0
Panoptic-Depth Color Map for Combination of Depth and Image Segmentation—0
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection—0
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack—0
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—0
MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving—0
Quantile-based Maximum Likelihood Training for Outlier DetectionCode0
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield—0
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation—0
XVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving—0
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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