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 2976–3000 of 6092 papers

TitleStatusHype
Residual Chain Prediction for Autonomous Driving Path Planning—0
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Human Detection from 4D Radar Data in Low-Visibility Field Conditions—0
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs—0
Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night SceneCode0
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction—0
Scaling Motion Forecasting Models with Ensemble Distillation—0
Exploring Probabilistic Models for Semi-supervised Learning—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning—0
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks—0
Ego-Motion Aware Target Prediction Module for Robust Multi-Object TrackingCode0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—0
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving—0
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban EnvironmentCode0
Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection—0
Improving Bird's Eye View Semantic Segmentation by Task Decomposition—0
Heuristic Optimization of Amplifier Reconfiguration Process for Autonomous Driving Optical Networks—0
Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications—0
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder—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