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 1726–1750 of 6092 papers

TitleStatusHype
Driving Through Ghosts: Behavioral Cloning with False Positives—0
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving—0
Driving through the Lens: Improving Generalization of Learning-based Steering using Simulated Adversarial Examples—0
DriverGym: Democratising Reinforcement Learning for Autonomous Driving—0
Driver Assistance System Based on Multimodal Data Hazard Detection—0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation—0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
Driver2vec: Driver Identification from Automotive Data—0
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning—0
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving—0
DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling—0
Motion Prediction Performance Analysis for Autonomous Driving Systems and the Effects of Tracking Noise—0
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision—0
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators—0
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving—0
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs—0
Analyzing Accuracy Loss in Randomized Smoothing Defenses—0
DSNet for Real-Time Driving Scene Semantic Segmentation—0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving—0
DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving—0
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks—0
AdaOcc: Adaptive-Resolution Occupancy Prediction—0
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications—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