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 1076–1100 of 2605 papers

TitleStatusHype
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction—0
Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks—0
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey—0
Hyper-STTN: Social Group-aware Spatial-Temporal Transformer Network for Human Trajectory Prediction with Hypergraph Reasoning—0
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems—0
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction—0
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds—0
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception—0
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical StudyCode0
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities—0
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo—0
MSU-4S - The Michigan State University Four Seasons Dataset—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving—0
Data Assimilation in Chaotic Systems Using Deep Reinforcement LearningCode0
Point Cloud in the Air—0
A Survey on Graph Neural Networks in Intelligent Transportation Systems—0
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy—0
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
Risk of Cascading Collisions in Network of Vehicles with Delayed Communication—0
Attack Tree Analysis for Adversarial Evasion Attacks—0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
In-Lab Implementation of DSRC PHY Layer—0
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Benchmark Results

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