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 5501–5525 of 6092 papers

TitleStatusHype
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy LearningCode1
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks—0
Organization of machine learning based product development as per ISO 26262 and ISO/PAS 21448—0
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving—0
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory—0
Development of a hand pose recognition system on an embedded computer using Artificial IntelligenceCode1
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods—0
Global visual localization in LiDAR-maps through shared 2D-3D embedding space—0
Using Image Priors to Improve Scene Understanding—0
Attacking Vision-based Perception in End-to-End Autonomous Driving ModelsCode0
Generating Semantic Adversarial Examples with Differentiable Rendering—0
Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes—0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos—0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes—0
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos—0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization—0
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory PredictionCode1
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving—0
Enhancing Object Detection in Adverse Conditions using Thermal Imaging—0
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes—0
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals—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