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

Showing 25262550 of 2605 papers

TitleStatusHype
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving0
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios0
Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features0
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection0
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections0
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *0
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments0
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System0
Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic0
DyTTP: Trajectory Prediction with Normalization-Free Transformers0
ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout0
Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments0
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception0
Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC0
Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles0
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems0
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications0
EEPNet: Efficient Edge Pixel-based Matching Network for Cross-Modal Dynamic Registration between LiDAR and Camera0
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Benchmark Results

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