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 1451–1475 of 6092 papers

TitleStatusHype
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training—0
Applications of Large Scale Foundation Models for Autonomous Driving—0
CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs—0
CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving—0
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation—0
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics—0
SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions—0
Causal reasoning in typical computer vision tasks—0
Causality-Driven Reinforcement Learning for Joint Communication and Sensing—0
Application of Tensorized Neural Networks for Cloud Classification—0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Addressing Action Oscillations through Learning Policy Inertia—0
Causal Deep Reinforcement Learning Using Observational Data—0
Causal Composition Diffusion Model for Closed-loop Traffic Generation—0
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving—0
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation—0
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving—0
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving—0
3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving—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