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 4101–4125 of 6092 papers

TitleStatusHype
A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone—0
A Concise Survey on Lane Topology Reasoning for HD Mapping—0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts—0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
How GPT-3 responds to different publics on climate change and Black Lives Matter: A critical appraisal of equity in conversational AI—0
Cross-Modal Distillation for RGB-Depth Person Re-Identification—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
ACT-Bench: Towards Action Controllable World Models for Autonomous Driving—0
Action and intention recognition of pedestrians in urban traffic—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
Action Anticipation By Predicting Future Dynamic Images—0
Action-based Contrastive Learning for Trajectory Prediction—0
Action Detection from a Robot-Car Perspective—0
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving—0
Active Altruism Learning and Information Sufficiency for Autonomous Driving—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Active Learning from Scene Embeddings for End-to-End Autonomous Driving—0
Active Legibility in Multiagent Reinforcement Learning—0
Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO—0
Active Perception using Light Curtains for Autonomous Driving—0
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving—0
AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions—0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—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