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 801–825 of 2605 papers

TitleStatusHype
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection—0
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *—0
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments—0
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles—0
Adaptive Stress Testing for Autonomous Vehicles—0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout—0
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC—0
Deep learning based infrared small object segmentation: Challenges and future directions—0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions—0
Blending Data-Driven Priors in Dynamic Games—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems—0
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation—0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
Automatic Testing With Reusable Adversarial Agents—0
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Benchmark Results

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