SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 826–850 of 2605 papers

TitleStatusHype
On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels—0
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning—0
Prospective Role of Foundation Models in Advancing Autonomous Vehicles—0
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions—0
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation—0
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language ModelsCode1
STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world DatasetCode0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
Dolphins: Multimodal Language Model for DrivingCode1
Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing—0
Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach—0
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention MechanismCode0
Planning Reliability Assurance Tests for Autonomous Vehicles—0
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels—0
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent—0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction—0
Game Projection and Robustness for Game-Theoretic Autonomous Driving—0
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingCode2
Empowering Autonomous Driving with Large Language Models: A Safety Perspective—0
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified