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 1301–1325 of 6092 papers

TitleStatusHype
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference—0
Robust Bird's Eye View Segmentation by Adapting DINOv2—0
DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—0
Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications—0
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-DrivingCode1
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets—0
OPUS: Occupancy Prediction Using a Sparse SetCode2
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action PredictionCode0
GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map ConstructionCode1
Real-time Multi-view Omnidirectional Depth Estimation System for Robots and Autonomous Driving on Real Scenes—0
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made StableCode1
GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions—0
Attack End-to-End Autonomous Driving through Module-Wise Noise—0
GatedUniPose: A Novel Approach for Pose Estimation Combining UniRepLKNet and Gated Convolution—0
The Design of Informative Take-Over Requests for Semi-Autonomous Cyber-Physical Systems: Combining Spoken Language and Visual Icons in a Drone-Controller Setting—0
ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutationCode0
The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine—0
LED: Light Enhanced Depth Estimation at NightCode1
Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU—0
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and ChallengesCode1
Unsupervised Point Cloud Registration with Self-DistillationCode0
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving—0
Behavioral Cloning Models Reality Check for Autonomous Driving—0
MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous DrivingCode2
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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