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 2151–2200 of 6092 papers

TitleStatusHype
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions—0
Balancing Explainability-Accuracy of Complex Models—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
Generating Critical Scenarios for Testing Automated Driving Systems—0
Diff-Net: Image Feature Difference based High-Definition Map Change Detection for Autonomous Driving—0
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model—0
Bait and Switch: Online Training Data Poisoning of Autonomous Driving Systems—0
DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement—0
A Low-Cost Lane-Following Algorithm for Cyber-Physical Robots—0
2nd Place Solution for Waymo Open Dataset Challenge -- 2D Object Detection—0
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement—0
Differentially Private and Fair Classification via Calibrated Functional Mechanism—0
A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition—0
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving—0
BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation—0
Action-based Contrastive Learning for Trajectory Prediction—0
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression—0
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving—0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction—0
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems—0
Action Anticipation By Predicting Future Dynamic Images—0
DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes—0
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control—0
ALN-P3: Unified Language Alignment for Perception, Prediction, and Planning in Autonomous Driving—0
Generating and Evolving Reward Functions for Highway Driving with Large Language Models—0
Generating Clear Images From Images With Distortions Caused by Adverse Weather Using Generative Adversarial Networks—0
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks—0
Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks—0
Global Deconvolutional Networks for Semantic Segmentation—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
DF-Calib: Targetless LiDAR-Camera Calibration via Depth Flow—0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
Development of Real-time Rendering Technology for High-Precision Models in Autonomous Driving—0
Development of Open Informal Dataset Affecting Autonomous Driving—0
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks—0
Development of Occupancy Prediction Algorithm for Underground Parking Lots—0
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents—0
All-photon Polarimetric Time-of-Flight Imaging—0
Backdooring Outlier Detection Methods: A Novel Attack Approach—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline—0
Development and testing of an image transformer for explainable autonomous driving systems—0
Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping—0
Backdoor Defense via Test-Time Detecting and Repairing—0
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
All-optical image classification through unknown random diffusers using a single-pixel diffractive network—0
2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track—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