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 801–825 of 6092 papers

TitleStatusHype
DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement—0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
Distilling Monocular Foundation Model for Fine-grained Depth Completion—0
DriveGPT4-V2: Harnessing Large Language Model Capabilities for Enhanced Closed-Loop Autonomous Driving—0
Balancing Two Classifiers via A Simplex ETF Structure for Model CalibrationCode0
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy PredictionCode0
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram—0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting—0
OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye CamerasCode1
Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection—0
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework—0
PIDLoc: Cross-View Pose Optimization Network Inspired by PID ControllersCode1
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation—0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline—0
CorrBEV: Multi-View 3D Object Detection by Correlation Learning with Multi-modal Prototypes—0
VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network—0
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks—0
Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading—0
DreamDrive: Generative 4D Scene Modeling from Street View Images—0
Online Video Understanding: OVBench and VideoChat-OnlineCode2
Research on vehicle detection based on improved YOLOv8 network—0
Automotive Speed Estimation: Sensor Types and Error Characteristics from OBD-II to ADASCode0
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
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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