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 14111420 of 2605 papers

TitleStatusHype
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles0
Slim-neck by GSConv: A lightweight-design for real-time detector architecturesCode2
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
Continual Object Detection: A review of definitions, strategies, and challenges0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles0
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking0
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous DrivingCode4
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
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Benchmark Results

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