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 501–525 of 2605 papers

TitleStatusHype
PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous DrivingCode1
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios—0
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions—0
Data selection method for assessment of autonomous vehiclesCode0
ParCon: Noise-Robust Collaborative Perception via Multi-module Parallel Connection—0
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control—0
CommRad: Context-Aware Sensing-Driven Millimeter-Wave Networks—0
Real-Time Anomaly Detection and Reactive Planning with Large Language Models—0
Towards stable training of parallel continual learningCode0
NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles—0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks—0
Spatio-temporal cooperative control Method of Highway Ramp Merge Based on Vehicle-road Coordination—0
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors—0
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios—0
Deep Reinforcement Learning for Adverse Garage Scenario Generation—0
SeFlow: A Self-Supervised Scene Flow Method in Autonomous DrivingCode2
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators—0
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Benchmark Results

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