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 15811590 of 2605 papers

TitleStatusHype
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles0
A Comprehensive Eco-Driving Strategy for Connected and Autonomous Vehicles (CAVs) with Microscopic Traffic Simulation Testing Evaluation0
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?0
Waymo Open Dataset: Panoramic Video Panoptic Segmentation0
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUCode0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles0
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection0
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards0
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles0
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Benchmark Results

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