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
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving—0
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving—0
Semantic Segmentation by Semantic Proportions—0
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving ScenarioCode2
Polarimetric Imaging for Perception—0
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks—0
RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection—0
Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient—0
Multi-Echo Denoising in Adverse WeatherCode1
GUARD: A Safe Reinforcement Learning BenchmarkCode1
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving—0
Balancing Explainability-Accuracy of Complex Models—0
DetGPT: Detect What You Need via ReasoningCode2
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation—0
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows—0
Learning Pedestrian Actions to Ensure Safe Autonomous Driving—0
VDT: General-purpose Video Diffusion Transformers via Mask ModelingCode2
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial AttacksCode1
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
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
The Waymo Open Sim Agents ChallengeCode1
Vision-based DRL Autonomous Driving Agent with Sim2Real TransferCode1
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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