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 2011–2020 of 2605 papers

TitleStatusHype
Global Image Segmentation Process using Machine Learning algorithm & Convolution Neural Network method for Self- Driving Vehicles—0
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge—0
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection—0
Trajectory Prediction using Equivariant Continuous Convolution—0
A Lane Merge Coordination Model for a V2X Scenario—0
Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles—0
Transportation Internet: Concepts, Models, and Architectures—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion—0
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Benchmark Results

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