The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China

07/27/2020
by   Ke Wang, et al.
0

China is the world's largest automotive market and is ambitious for autonomous vehicles (AVs) development. As one of the key goals of AVs, pedestrian safety is an important issue in China. Despite the rapid development of driverless technologies in recent years, there is a lack of researches on the adaptability of AVs to pedestrians. To fill the gap, this study would discuss the adaptability of current driverless technologies to China urban pedestrians by reviewing the latest researches. The paper firstly analyzed typical Chinese pedestrian behaviors and summarized the safety demands of pedestrians for AVs through articles and open database data, which are worked as the evaluation criteria. Then, corresponding driverless technologies are carefully reviewed. Finally, the adaptability would be given combining the above analyses. Our review found that autonomous vehicles have trouble in the occluded pedestrian environment and Chinese pedestrians do not accept AVs well. And more explorations should be conducted on standard human-machine interaction, interaction information overload avoidance, occluded pedestrians detection and nation-based receptivity research. The conclusions are very useful for motor corporations and driverless car researchers to place more attention on the complexity of the Chinese pedestrian environment, for transportation experts to protect pedestrian safety in the context of AVs, and for governors to think about making new pedestrians policies to welcome the upcoming driverless cars.

READ FULL TEXT

page 1

page 3

page 5

page 6

page 8

page 18

research
05/30/2018

Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice

One of the major challenges that autonomous cars are facing today is dri...
research
11/03/2017

People as Sensors: Imputing Maps from Human Actions

Despite growing attention in autonomy, there are still many open problem...
research
12/04/2020

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Pedestrians are arguably one of the most safety-critical road users to c...
research
07/03/2023

Autonomous Vehicles for All?

The traditional build-and-expand approach is not a viable solution to ke...
research
04/02/2021

Datacentric analysis to reduce pedestrians accidents: A case study in Colombia

Since 2012, in a case-study in Bucaramanga-Colombia, 179 pedestrians die...
research
02/26/2020

Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking

Autonomous vehicles (AVs) must share space with human pedestrians, both ...

Please sign up or login with your details

Forgot password? Click here to reset