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 1251–1275 of 6092 papers

TitleStatusHype
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking—0
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning—0
PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR—0
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models—0
DualAD: Dual-Layer Planning for Reasoning in Autonomous DrivingCode1
Optical Lens Attack on Deep Learning Based Monocular Depth Estimation—0
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors—0
Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer—0
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models—0
Skyeyes: Ground Roaming using Aerial View Images—0
Diffusion Models for Intelligent Transportation Systems: A Survey—0
FSF-Net: Enhance 4D Occupancy Forecasting with Coarse BEV Scene Flow for Autonomous Driving—0
A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone—0
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous DrivingCode2
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving—0
MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous DrivingCode3
VLMine: Long-Tail Data Mining with Vision Language Models—0
Enhancing Pedestrian Trajectory Prediction with Crowd Trip InformationCode0
Goal-based Neural Physics Vehicle Trajectory Prediction Model—0
SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles—0
Margin-bounded Confidence Scores for Out-of-Distribution DetectionCode0
First Field Trial of LLM-Powered AI Agent for Lifecycle Management of Autonomous Driving Optical Networks—0
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks—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