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Autonomous Driving

76 papers with code · Computer Vision
Subtask of Autonomous Vehicles

Autonomous driving is the task of driving a vehicle 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.

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Greatest papers with code

Online Temporal Calibration for Monocular Visual-Inertial Systems

2 Aug 2018HKUST-Aerial-Robotics/VINS-Mono

Visual and inertial fusion is a popular technology for 6-DOF state estimation in recent years.

AUTONOMOUS DRIVING ROBOT NAVIGATION SENSOR FUSION TIME OFFSET CALIBRATION

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition

14 Mar 2019tusimple/simpledet

Object detection and instance recognition play a central role in many AI applications like autonomous driving, video surveillance and medical image analysis.

AUTONOMOUS DRIVING OBJECT DETECTION

DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

9 Jan 2018lexfridman/deeptraffic

We present a traffic simulation named DeepTraffic where the planning systems for a subset of the vehicles are handled by a neural network as part of a model-free, off-policy reinforcement learning process.

AUTONOMOUS DRIVING AUTONOMOUS NAVIGATION Q-LEARNING

Virtual to Real Reinforcement Learning for Autonomous Driving

13 Apr 2017SullyChen/Autopilot-TensorFlow

To our knowledge, this is the first successful case of driving policy trained by reinforcement learning that can adapt to real world driving data.

AUTONOMOUS DRIVING DOMAIN ADAPTATION SYNTHETIC-TO-REAL TRANSLATION TRANSFER LEARNING

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

22 Dec 2016MarvinTeichmann/KittiSeg

While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time applications such as autonomous driving.

AUTONOMOUS DRIVING SEMANTIC SEGMENTATION

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

4 Dec 2016BichenWuUCB/squeezeDet

In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment.

AUTONOMOUS DRIVING REAL-TIME OBJECT DETECTION

Joint 3D Proposal Generation and Object Detection from View Aggregation

6 Dec 2017kujason/avod

We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios.

3D OBJECT DETECTION AUTONOMOUS DRIVING

RTSeg: Real-time Semantic Segmentation Comparative Study

7 Mar 2018MSiam/TFSegmentation

In this paper, we address this gap by presenting a real-time semantic segmentation benchmarking framework with a decoupled design for feature extraction and decoding methods.

AUTONOMOUS DRIVING REAL-TIME SEMANTIC SEGMENTATION

Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing

10 Apr 2018ZhaoJ9014/Multi-Human-Parsing_MHP

Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group behavior analysis, person re-identification and autonomous driving, etc.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION MULTI-HUMAN PARSING PERSON RE-IDENTIFICATION SALIENCY PREDICTION SEMANTIC SEGMENTATION