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 5126–5150 of 6092 papers

TitleStatusHype
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras—0
Rethinking Closed-loop Training for Autonomous Driving—0
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection—0
Rethinking Range View Representation for LiDAR Segmentation—0
Rethinking Trajectory Forecasting Evaluation—0
Retrieval and Localization with Observation Constraints—0
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators—0
Reversible Attack based on Local Visual Adversarial Perturbation—0
Review: deep learning on 3D point clouds—0
Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT—0
Data-driven Camera and Lidar Simulation Models for Autonomous Driving: A Review from Generative Models to Volume Renderers—0
A Survey on 3D LiDAR Localization for Autonomous Vehicles—0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
Revisiting 3D Object Detection From an Egocentric Perspective—0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection—0
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies—0
Revisiting Modality Imbalance In Multimodal Pedestrian Detection—0
Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving—0
Revisiting Outage for Edge Inference Systems—0
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning—0
Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework—0
REvolve: Reward Evolution with Large Language Models using Human Feedback—0
Reward (Mis)design for Autonomous Driving—0
STIR^2: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks—0
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review—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