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 801–850 of 6092 papers

TitleStatusHype
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory—0
Balancing Two Classifiers via A Simplex ETF Structure for Model CalibrationCode0
PIDLoc: Cross-View Pose Optimization Network Inspired by PID ControllersCode1
OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye CamerasCode1
Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection—0
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram—0
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework—0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
Distilling Monocular Foundation Model for Fine-grained Depth Completion—0
Shape and Texture: What Influences Reliable Optical Flow Estimation?—0
GLane3D: Detecting Lanes with Graph of 3D Keypoints—0
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy PredictionCode0
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting—0
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks—0
VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network—0
CorrBEV: Multi-View 3D Object Detection by Correlation Learning with Multi-modal Prototypes—0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation—0
Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading—0
Research on vehicle detection based on improved YOLOv8 network—0
Online Video Understanding: OVBench and VideoChat-OnlineCode2
Automotive Speed Estimation: Sensor Types and Error Characteristics from OBD-II to ADASCode0
DreamDrive: Generative 4D Scene Modeling from Street View Images—0
DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion—0
Toward Information Theoretic Active Inverse Reinforcement Learning—0
TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning DistillationCode1
MR-Occ: Efficient Camera-LiDAR 3D Semantic Occupancy Prediction Using Hierarchical Multi-Resolution Voxel Representation—0
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles—0
Multi-Modality Driven LoRA for Adverse Condition Depth Estimation—0
Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception—0
DepthMamba with Adaptive Fusion—0
Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark—0
DrivingWorld: Constructing World Model for Autonomous Driving via Video GPTCode3
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic ScenariosCode0
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesCode1
HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object DetectionCode0
TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object DetectionCode0
Evaluating the Adversarial Robustness of Detection Transformers—0
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous RacingCode0
GDM4MMIMO: Generative Diffusion Models for Massive MIMO Communications—0
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerCode1
AA-SGAN: Adversarially Augmented Social GAN with Synthetic DataCode0
Causal Composition Diffusion Model for Closed-loop Traffic Generation—0
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving—0
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper—0
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation—0
NumbOD: A Spatial-Frequency Fusion Attack Against Object DetectorsCode0
Lightweight Design and Optimization methods for DCNNs: Progress and Futures—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Towards Selection and Transition Between Behavior-Based Neural Networks for Automated 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