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 3001–3025 of 6092 papers

TitleStatusHype
Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison—0
Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception—0
Rotating-star Pattern for Camera Calibration—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving—0
Layered Interpretation of Street View Images—0
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles—0
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning—0
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation—0
Leveraging machine learning for less developed languages: Progress on Urdu text detection—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task—0
LHPF: Look back the History and Plan for the Future in Autonomous Driving—0
LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning—0
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing—0
Learnable Online Graph Representations for 3D Multi-Object Tracking—0
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security—0
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning—0
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss—0
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion—0
Learning a Layout Transfer Network for Context Aware Object Detection—0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments—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