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 2151–2200 of 6092 papers

TitleStatusHype
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action ChainCode2
Blending Data-Driven Priors in Dynamic Games—0
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning—0
EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization—0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept—0
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic PlanningCode5
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application—0
Advancements in Point Cloud-Based 3D Defect Detection and Classification for Industrial Systems: A Comprehensive Survey—0
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges—0
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models—0
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object TrackingCode1
SDGE: Stereo Guided Depth Estimation for 360^ Camera Sets—0
Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target LocalizationCode0
GenAD: Generative End-to-End Autonomous DrivingCode3
Exploiting T-norms for Deep Learning in Autonomous Driving—0
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation—0
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language ModelCode2
Exploiting Alpha Transparency In Language And Vision-Based AI Systems—0
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?—0
PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving EnvironmentsCode2
Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms—0
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning—0
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain—0
Vehicle Behavior Prediction by Episodic-Memory Implanted NDTCode0
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision TransformerCode1
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets—0
Neural Rendering based Urban Scene Reconstruction for Autonomous Driving—0
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review—0
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-AgentsCode3
Optimizing Delegation in Collaborative Human-AI Hybrid Teams—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving—0
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision—0
Tuning the feedback controller gains is a simple way to improve autonomous driving performance—0
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous DrivingCode3
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting—0
Informed Reinforcement Learning for Situation-Aware Traffic Rule ExceptionsCode0
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting MachinesCode0
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective—0
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous DrivingCode3
Hybrid-Prediction Integrated Planning for Autonomous Driving—0
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysisCode0
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous DrivingCode1
RIDERS: Radar-Infrared Depth Estimation for Robust SensingCode1
Show:102550
← PrevPage 44 of 122Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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