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 2276–2300 of 6092 papers

TitleStatusHype
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting—0
A Novel Upsampling and Context Convolution for Image Semantic Segmentation—0
A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios—0
Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework—0
Engineering Safety Requirements for Autonomous Driving with Large Language Models—0
Engineering Education in the Age of Autonomous Machines—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
A novel pLSA based Traffic Signs Classification System—0
EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency—0
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors—0
Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors—0
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework—0
CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments—0
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles—0
End to End Video Segmentation for Driving : Lane Detection For Autonomous Car—0
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving—0
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?—0
A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process—0
End-To-End Training and Testing Gamification Framework to Learn Human Highway 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