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 1976–2000 of 6092 papers

TitleStatusHype
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion—0
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images—0
DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
CASPNet++: Joint Multi-Agent Motion Prediction—0
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems—0
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks—0
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout—0
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain—0
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey—0
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation—0
Causal Composition Diffusion Model for Closed-loop Traffic Generation—0
Evaluating the Adversarial Robustness of Detection Transformers—0
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset—0
Causal Deep Reinforcement Learning Using Observational Data—0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving—0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains—0
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development—0
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control—0
Causality-Driven Reinforcement Learning for Joint Communication and Sensing—0
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions—0
Evaluation of Large Language Models for Decision Making in Autonomous Driving—0
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation—0
BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations—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