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 726–750 of 2605 papers

TitleStatusHype
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning—0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
PIP-Net: Pedestrian Intention Prediction in the Wild—0
Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance—0
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application—0
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways—0
A novel framework for adaptive stress testing of autonomous vehicles in highways—0
PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving EnvironmentsCode2
Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea—0
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation—0
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets—0
Improved Generalizability of CNN Based Lane Detection in Challenging Weather Using Adaptive Preprocessing Parameter Tuning—0
Savvy: Trustworthy Autonomous Vehicles Architecture—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Driving Everywhere with Large Language Model Policy Adaptation—0
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles—0
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication—0
Robust Data-EnablEd Predictive Leading Cruise Control via Reachability Analysis—0
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge IntegrationCode1
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous DrivingCode3
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity—0
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors—0
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Benchmark Results

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