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 1876–1900 of 6092 papers

TitleStatusHype
AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions—0
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning—0
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks—0
Empowering Autonomous Driving with Large Language Models: A Safety Perspective—0
Camera Agnostic Two-Head Network for Ego-Lane Inference—0
DPPD: Deformable Polar Polygon Object Detection—0
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving—0
Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card—0
Enabling Next-Generation V2X Perception: Wireless Rigid Body Localization and Tracking—0
Enabling Robots to Communicate their Objectives—0
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections—0
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets—0
An advanced YOLOv3 method for small object detection—0
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection—0
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN—0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review—0
Anomaly Detection in Radar Data Using PointNets—0
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving—0
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving—0
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box—0
End-to-End Deep Reinforcement Learning for Lane Keeping Assist—0
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion—0
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning—0
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance—0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory—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