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 1701–1750 of 6092 papers

TitleStatusHype
4D Millimeter-Wave Radar in Autonomous Driving: A Survey—0
Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework—0
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map—0
Driving behavior recognition via self-discovery learning—0
DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction—0
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models—0
Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars—0
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos—0
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning—0
Analyzing Human Models that Adapt Online—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
Driving in Real Life with Inverse Reinforcement Learning—0
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving—0
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch—0
DriveScape: Towards High-Resolution Controllable Multi-View Driving Video Generation—0
Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—0
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation—0
DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion—0
DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving—0
Analyzing Computer Vision Data - The Good, the Bad and the Ugly—0
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