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 3051–3075 of 6092 papers

TitleStatusHype
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation—0
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection—0
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots—0
An Empirical Evaluation of Deep Learning on Highway Driving—0
An Empirical Study of Adder Neural Networks for Object Detection—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images—0
An End-to-End Vehicle Trajcetory Prediction Framework—0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving—0
A New Architecture for Neural Enhanced Multiobject Tracking—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks—0
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving—0
An Independent Study of Reinforcement Learning and Autonomous Driving—0
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
An Investigation of Denial of Service Attacks on Autonomous Driving Software and Hardware in Operation—0
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds—0
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data—0
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation—0
Anomaly Detection in Radar Data Using PointNets—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