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 2651–2675 of 6092 papers

TitleStatusHype
CalibRBEV: Multi-Camera Calibration via ReversedBird's-eye-view Representations for Autonomous Driving.—0
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
CORT: Class-Oriented Real-time Tracking for Embedded Systems—0
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning—0
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models—0
Complementary Learning for Real-World Model Failure DetectionCode0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous DrivingCode0
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial RepresentationsCode0
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement—0
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation—0
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios—0
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning—0
Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving—0
KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation—0
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments—0
Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures—0
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation—0
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts—0
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)—0
DINO Pre-training for Vision-based End-to-end Autonomous Driving—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network—0
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems—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