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 1526–1550 of 6092 papers

TitleStatusHype
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline—0
Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving—0
AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving—0
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration—0
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous DrivingCode0
BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations—0
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation—0
HiLO: High-Level Object Fusion for Autonomous Driving using TransformersCode0
Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission—0
Embedded Acoustic Intelligence for Automotive Systems—0
DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving—0
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving—0
LoRA as a Flexible Framework for Securing Large Vision Systems—0
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic SegmentationCode0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation—0
ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving—0
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic SegmentationCode0
Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving—0
Autoregressive Meta-Actions for Unified Controllable Trajectory Generation—0
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization—0
HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring—0
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing—0
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving—0
SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail VoxelsCode0
A Human-Centric Approach to Explainable AI for Personalized EducationCode0
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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