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 101–125 of 6092 papers

TitleStatusHype
LiteVLM: A Low-Latency Vision-Language Model Inference Pipeline for Resource-Constrained Environments—0
SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding—0
Scaling Laws of Motion Forecasting and Planning -- A Technical Report—0
Ego-centric Learning of Communicative World Models for Autonomous Driving—0
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving—0
DLNet: Direction-Aware Feature Integration for Robust Lane Detection in Complex EnvironmentsCode0
Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization—0
Generalized Trajectory Scoring for End-to-end Multimodal PlanningCode3
Gaussian Mapping for Evolving Scenes—0
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models—0
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous DrivingCode1
Trajectory Entropy: Modeling Game State Stability from Multimodality Trajectory Prediction—0
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle PerceptionCode0
Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving—0
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline—0
VideoMolmo: Spatio-Temporal Grounding Meets PointingCode2
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth—0
Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian SplattingCode2
AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving—0
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous DrivingCode0
Pseudo-Simulation for Autonomous DrivingCode4
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration—0
Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter EmbeddingCode2
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation—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