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 3701–3725 of 6092 papers

TitleStatusHype
Balancing Explainability-Accuracy of Complex Models—0
Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient—0
RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection—0
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving—0
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds—0
Why current rain denoising models fail on CycleGAN created rain images in autonomous driving—0
Learning Pedestrian Actions to Ensure Safe Autonomous Driving—0
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows—0
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation—0
Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps—0
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering—0
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review—0
Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images—0
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection—0
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation—0
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches—0
Object Re-Identification from Point Clouds—0
Improving Extrinsics between RADAR and LIDAR using Learning—0
ReasonNet: End-to-End Driving with Temporal and Global Reasoning—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
Towards Pragmatic Semantic Image Synthesis for Urban ScenesCode0
Correlation Pyramid Network for 3D Single Object Tracking—0
Self-Aware Trajectory Prediction for Safe Autonomous Driving—0
Two is Better Than One: Digital Siblings to Improve Autonomous Driving TestingCode0
SuperDriverAI: Towards Design and Implementation for End-to-End Learning-based Autonomous Driving—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