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 3426–3450 of 6092 papers

TitleStatusHype
Gated Cross-Attention Network for Depth Completion—0
3D Multiple Object Tracking on Autonomous Driving: A Literature Review—0
The Robust Semantic Segmentation UNCV2023 Challenge Results—0
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies—0
InfraParis: A multi-modal and multi-task autonomous driving datasetCode0
Uncertainty Quantification via Neural Posterior Principal Components—0
HPL-ViT: A Unified Perception Framework for Heterogeneous Parallel LiDARs in V2V—0
AutoEncoding Tree for City Generation and Applications—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving—0
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery—0
Overview of Computer Vision Techniques in Robotized Wire Harness Assembly: Current State and Future Opportunities—0
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills—0
Deep Learning-Based Connector Detection for Robotized Assembly of Automotive Wire Harnesses—0
Output-Sampled Model Predictive Path Integral Control (o-MPPI) for Increased Efficiency—0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
Sequential Action-Induced Invariant Representation for Reinforcement LearningCode0
Pixel-wise Smoothing for Certified Robustness against Camera Motion PerturbationsCode0
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
Learning to Drive Anywhere—0
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving—0
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time—0
Safe POMDP Online Planning via Shielding—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