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

Showing 45764600 of 6092 papers

TitleStatusHype
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning0
Medial Spectral Coordinates for 3D Shape Analysis0
MegLoc: A Robust and Accurate Visual Localization Pipeline0
Uncertainty Aware Proposal Segmentation for Unknown Object Detection0
Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes0
Independent Learning in Stochastic Games0
Attention for Adversarial Attacks: Learning from your Mistakes0
Backdoor Attack through Frequency DomainCode0
Monocular Road Planar Parallax Estimation0
Towards Safe, Explainable, and Regulated Autonomous Driving0
Unsupervised Visual Time-Series Representation Learning and Clustering0
Assisted Robust Reward Design0
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior0
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion0
Switching Recurrent Kalman Networks0
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation0
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots0
DriverGym: Democratising Reinforcement Learning for Autonomous Driving0
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps0
Graph-Guided Deformation for Point Cloud Completion0
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic0
Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving0
Get a Model! Model Hijacking Attack Against Machine Learning Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified