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 76–100 of 6092 papers

TitleStatusHype
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction—0
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving—0
Vision-based Lifting of 2D Object Detections for Automated Driving—0
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisCode2
Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds—0
FocalAD: Local Motion Planning for End-to-End Autonomous Driving—0
Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving—0
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy PredictionCode2
LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System—0
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving—0
Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation—0
ReSim: Reliable World Simulation for Autonomous Driving—0
AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions—0
ODG: Occupancy Prediction Using Dual Gaussians—0
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory ForecastingCode0
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos—0
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic SegmentationCode1
RoCA: Robust Cross-Domain End-to-End Autonomous Driving—0
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting—0
Perception Characteristics Distance: Measuring Stability and Robustness of Perception System in Dynamic Conditions under a Certain Decision RuleCode0
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)—0
Diffusion Models for Safety Validation of Autonomous Driving Systems—0
TrajFlow: Multi-modal Motion Prediction via Flow Matching—0
R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation—0
SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding—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